IRLab bibtex entries

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@inproceedings{kne08_plansig,
    title={Uncertain Probabilistic Roadmaps with Observations},
    author="R. Dearden and M. Kneebone",
    year="2008",
    booktitle={Proceedings of the 27th Workshop of the UK Planning and Scheduling Special Interest Group (PlanSIG 2008)},
    month="December",
    location={Edinburgh, UK},
    pages="33--40",
    url="http://www.cs.bham.ac.uk/~mlk/uncertain_prm.pdf"
}

@inproceedings{kne09_icaps,
   title="Navigation Planning in Probabilistic Roadmaps with Uncertainty",
   author="M. Kneebone and R. Dearden",
   year="2009",
   booktitle="19th International Conference on Automated Planning and Scheduling ({ICAPS09})",
   url="http://www.cs.bham.ac.uk/~mlk/ICAPS09.pdf",
   location="Thessaloniki, Greece",
   month="September",
}


@CONFERENCE{Dearden2007,
 author = {Richard W. Dearden and Zeyn A. Saigol and Jeremy L. Wyatt and Bramley
 J. Murton},
 title = {Planning for {AUV}s: {D}ealing with a Continuous Partially-Observable
 Environment},
 booktitle = {Workshop on Planning and Plan Execution for Real-World Systems, 17th
 International Conference on Automated Planning \& Scheduling},
 year = {2007},
 URL = {http://www.cs.bham.ac.uk/~zas/ICAPSworkshop07.pdf}
}


@INPROCEEDINGS{Saigol2009a,
 author = {Zeyn A. Saigol and Richard W. Dearden and Jeremy L. Wyatt and Bramley
 J. Murton},
 title = {Information-Lookahead Planning for {AUV} Mapping},
 booktitle = {Proceedings of the Twenty-first International Joint Conference on
 Artificial Intelligence (IJCAI-09)},
 year = {2009},
 URL = {http://www.cs.bham.ac.uk/~zas/IJCAI09InfoLookaheadAUV.pdf}
}

@TECHREPORT{Saigol2009b,
 author = {Zeyn A. Saigol and Richard W. Dearden and Jeremy L. Wyatt and Bramley
 J. Murton},
 title = {Information-Lookahead Planning for {AUV} Mapping},
 institution = {School of Computer Science, University of Birmingham},
 year = {2009},
 number = {CSR-09-01},
 month = {April}
 url = {ftp://ftp.cs.bham.ac.uk/pub/tech-reports/2009/CSR-09-01.pdf}
}



@InProceedings{braga04incremental,
  author =	 {A. Braga and  A. Araujo and J. Wyatt},
  title =	 {An Incremental Topological Reinforcement Learning Agent
                  in Non-Structured Environments},
  booktitle =	 {Proceedings of IEEE SMC 2004, International
                  Conference on Systems, Man and Cybernetics},
  pages =	 {5567--5572},
  year =	 2004
}

@InProceedings{brenneretal07ijcai,
  TITLE =       {Mediating Between Qualitative and Quantitative
                  Representations for Task-Orientated Human-Robot
                  Interaction},
  AUTHOR =      {Brenner, M. and Hawes, N. and Kelleher, J. and
                  Wyatt, J.},
  BOOKTITLE =    {Proc.~of the Twentieth International Joint
                  Conference on Artificial Intelligence (IJCAI)},
  ADDRESS =     {Hyderabad, India},
  YEAR =        2007,
  ABSTRACT =     { It is essential for successful human-robot
                  interaction that the robot is able to both
                  qualitatively understand the intended meaning of the
                  human's utterances and to react to them in the
                  continuous real world. In this paper we present a
                  number of novel techniques that collectively allow a
                  robot to interpret and execute spoken commands
                  describing manipulation goals involving qualitative
                  spatial constraints (e.g. ``put the red ball near
                  the blue cube''). The resulting implemented system
                  integrates computer vision, potential field models
                  of spatial relationships, and action planning to
                  mediate between the continuous real world, and
                  discrete, qualitative representations used for
                  symbolic reasoning. }
}       
@InProceedings{brown01negative,
  author = 	 {Gavin Brown and Xin Yao},
  title = 	 {The Effectiveness of Negative Correlation Learning},
   booktitle = {First UK Workshop on Computational Intelligence (UKCI`01)},
   year = 	 {2001},
 address = 	 {Edinburgh, Scotland},
  month = 	 {September},
}

@article{brown04survey,
  author =	 "G. Brown and J. Wyatt and R. Harris and X. Yao",
  title =	 "Diversity Creation Methods: A Survey and
                  Categorisation",
  journal =	 "Journal of Information Fusion",
  volume =	 "6",
  number =	 "1",
  month =	 "March",
  pages =	 "5--20",
  year =	 "2005"
}

@Article{brown04taxonomy,
  author = 	 {Gavin Brown and Jeremy Wyatt and Rachel Harris and Xin Yao},
  title = 	 {A Taxonomy of Neural Network Ensemble Learning Methods},
  journal = 	 {Information Fusion Journal, Special issue on Diversity in Multiple Classifier Systems},
  year = 	 {2004},
  volume = 	 {6},
  number = 	 {1},
  pages = 	 {5--20},
}

%% -*-BibTeX-*-


@InProceedings{brownwyatt03ambiguity,
  author =	 {G. Brown and J. Wyatt},
  title =	 {The Use of the Ambiguity Decomposition in Neural
                  Network Ensemble Learning Methods},
  booktitle =	 {20th {I}nternational {C}onference on {M}achine
                  {L}earning (ICML'03)},
  year =	 2003,
  editor =	 {T. Fawcett and N. Mishra},
  month =	 {August},
  address =	 {Washington DC, USA}
}

%% -*-BibTeX-*-


@inproceedings{brownwyatt03mcs,
  author =	 "G. Brown and J. Wyatt",
  title =	 "Negative Correlation Learning and the Ambiguity
                  Family of Ensemble Methods",
  booktitle =	 "Proc. Int. Workshop on Multiple Classifier Systems
                  (LNCS 2709)",
  publisher =	 "Springer",
  month =	 "June",
  pages =	 "266-275",
  year =	 "2003",
  address =	 "Guildford, Surrey",
  url =
                  "http://link.springer.de/link/service/series/0558/tocs/t2709.htm"
}

%% -*-BibTeX-*-


@inproceedings{brownwyatt05extremes,
  author =	 "G. Brown and J. Wyatt and P. Sun",
  title =	 "Between Two Extremes: Examining Decompositions of
                  the Ensemble Objective Function",
  booktitle =	 "Proc. Int. Workshop on Multiple Classifier Systems
                  (LNCS 3541)",
  publisher =	 "Springer",
  month =	 "June",
  year =	 "2005",
  address =	 "Monterey, California"
}

%% -*-BibTeX-*-


@article{brownwyatt05jmlr,
  title =	 "Managing Diversity in Regression Ensembles",
  author =	 "G. Brown and J. Wyatt and P. Tino",
  journal =	 "Journal of Machine Learning Research",
  volume =	 "6",
  year =	 "2005"
}

%% -*-BibTeX-*-


@InProceedings{brownyao02exploiting,
  author =	 {G. Brown and X. Yao and J. Wyatt and H. Wersing and B. Sendhoff},
  title =	 {Exploiting Ensemble Diversity for Automatic Feature
                  Extraction},
  booktitle =	 {Proc. of the 9th International Conference on Neural
                  Information Processing (ICONIP'02)},
  pages =	 {1786-1790},
  year =	 2002,
  month =	 {November}
}

@InProceedings{funlade03optimistic,
  author = 	 {Funlade Sunmola and Jeremy Wyatt},
  title = 	 {Optimistic Model Selection in Structure Based Reinforcement Learning },
  booktitle = {Sixth European Workshop on Reinforcement Learning (EWRL-6)},
  year = 	 {2003},
  address = 	 {Nancy, France},
  month = 	 {September 4-5},
  }

%% -*-BibTeX-*-


@InProceedings{grossman03semi,
  author =	 {A. Grossmann and M. Wendt and J. Wyatt},
  title =	 {A Semi-supervised Method for Learning the Structure
                  of Robot Environment Interaction},
  booktitle =	 {Proceedings of the 5th International Symposium on
                  Intelligent Data Analysis},
  pages =	 {36--47},
  year =	 2003,
  publisher =	 {Springer-Verlag}
}d

@InProceedings{grossman97continual,
  author = 	 {Axel Großmann and Riccardo Poli},
  title = 	 {Continual robot learning with constructive neural networks},
    booktitle = {Sixth European European Workshop on Learning Robots (EWLR-6)},
    year = 	 {1997},
  address = 	 {Brighton, UK},
  month = 	 {August},
}

@InProceedings{grossman99robust,
  author = 	 {Axel Großmann and Riccardo Poli},
  title = 	 {Robust mobile robot localisation from sparse and noisy proximity readings},
  booktitle = {IJCAI-99 Workshop on Reasoning with Uncertainty in Robot Navigation (RUR-99)},
  year = 	 {1999},
  address = 	 {Stockholm, Sweden},
  month = 	 {August},
  }

%% -*-BibTeX-*-


@PhdThesis{grossmann99phd,
  author =	 {A. Grossmann},
  title =	 {Continual learning for mobile robots},
  school =	 {University of Birmingham},
  year =	 2001,
}

%% -*-BibTeX-*-


@ARTICLE{grossmannpoli00,
        AUTHOR             = {A. Grossmann and R. Poli},
        JOURNAL            = {Robotics and Autonomous Systems},
        PAGES              = {1--18},
        TITLE              = {Robust mobile robot localisation from sparse and noisy proximity readings using Hough transform and probability grids},
        VOLUME             = {37},
        YEAR               = {2001}
}

@ARTICLE{grossmannpoli00robust,
        AUTHOR             = {A. Grossmann and R. Poli},
        JOURNAL            = {Robotics and Autonomous Systems},
        PAGES              = {1--18},
        TITLE              = {Robust mobile robot localisation from sparse and noisy proximity readings using Hough transform and probability grids},
        VOLUME             = {37},
        YEAR               = {2001}
}
@InProceedings{hartley01issues,
  author = 	 {Adrian R. Hartley and Jeremy L. Wyatt},
  title = 	 {Issues in Dynamic Hidden Markov Modelling},
  booktitle = {Proceedings of the Fifth European Workshop on Reinforcement Learning},
  year = 	 {2001},
  address = 	 {Utrecht, The Netherlands},
  month = 	 {October},
}

@InProceedings{hartley01task,
  author = 	 {Adrian R. Hartley and Jeremy L. Wyatt},
  title = 	 { Issues in Hidden Markov Modelling and Task Driven Perception},
  booktitle = {AAAI Spring Symposium: Learning Grounded Representations},
  year = 	 {2001},
}

%% -*-BibTeX-*-


@PHDTHESIS{hartley05,
        AUTHOR             = {A. Hartley},
        SCHOOL             = {University of Birmingham},
        TITLE              = {Utile Distinctions as an Approach to Hidden State Problems},
        YEAR               = {2005}
}

@PHDTHESIS{hartley05phd,
        AUTHOR             = {A. Hartley},
        SCHOOL             = {University of Birmingham},
        TITLE              = {Utile Distinctions as an Approach to Hidden State Problems},
        YEAR               = {2005}
}
@InProceedings{hartley99accuracy,
  author = 	 {Adrian R. Hartley},
  title = 	 {Accuracy-based fitness allows similar performance to humans in static and dynamic classification environments},
    booktitle = {GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference},
  pages = 	 {266--273},
  year = 	 {1999},
  editor = 	 {W. Banzhaf and J. Daida andd A. E. Eiben and M. H. Garzon and V. Honavar and M. Jakiela and R. E. Smith},
  publisher = {Morgan Kaufmann},
}

@InProceedings
{hawes00goalorientated,
    author = "Nick Hawes",
    title = "Real-Time Goal-Orientated Behaviour For Computer Game Agents",
  year = "2000",
  booktitle = "Game-On 2000, 1st International Conference on Intelligent
Games and Simulation",
  pages = "71--75",
}

@InProceedings
{hawes01anytime,
    author = "Nick Hawes",
    title = "Anytime Planning For Agent Behaviour",
    year = "2001",
    booktitle = "Proceedings of the Twelth Workshop of the UK Planning and
Scheduling Special Interest Group",
    pages = "157--166",
}
@InProceedings
{hawes02anytimeagent,
    author = "Nick Hawes",
    title = "An Anytime Planning Agent For Computer Game Worlds",
    year = "2002",
    booktitle = "Workshop on Agents in Computer Games at The 3rd International
Conference on Computers and Games ({CG}'02)",
    pages = "1--14",
}
@inproceedings{hawes04analogy,
abstract = {This paper presents a novel domain independent algorithm for constructing analogies using relationship-based structure-mapping. This algorithm is used as a core component in a system that solves visual analogy IQ test problems.},
author = {Hawes, Nick   and Kelleher, John  },
booktitle = {STAIRS 2004: Proceedings of the Second Starting AI Researchers' Symposium},
keywords = {alignment analogy structure-mapping},
pages = {205--210},
publisher = {IOS Press},
series = {Frontiers in Artificial Intelligence and Applications},
title = {Analogy by Alignment: On Structure Mapping And Similarity},
year = {2004}
}
@inproceedings{hawes04cst9,
	abstract = {Predictive text input using a single-tap entry method is currently the standard for text entry in the mobile domain. One problem facing this approach is which word to present to the user when more than one word matches an input sequence. The standard single-tap approach selects words using corpus occurrence frequencies, ignoring linguistic context. This can lead to the selection of words that are unrelated to the current input. In this paper we present an implementation of a context-aware...},
	author = {Hawes, Nick   and Kelleher, John  },
	booktitle = {STAIRS 2004: Proceedings of the Second Starting AI Researchers' Symposium},
	keywords = {context mobilephones textentry},
	pages = {217--222},
	publisher = {IOS Press},
	title = {Context-Sensitive Word Selection For Single-Tap Text Entry},
	year = {2004}
}

















@PhdThesis{hawes04phd,
  author = 	 {Nick Hawes},
  title = 	 {Anytime Deliberation for Computer Game Agents},
  school = 	 {School of Computer Science, University of Birmingham},
  year = 	 {2004},
}

@TechReport{hawesetal07balt,
  author      = "Nick Hawes and Michael Zillich and Jeremy Wyatt",
  title       = {BALT & CAST: Middleware for Cognitive Robotics},
  institution = {University of Birmingham, School of Computer Science},
  number      = {CSR-07-1},
  month       = {April},
  year        = {2007},
  email       = {N.A.Hawes@cs.bham.ac.uk, M.Zillich@cs.bham.ac.uk, J.L.Wyatt@cs.bham.ac.uk},
  file        = {/2007/CSR-07-1.pdf},
  url         = {ftp://ftp.cs.bham.ac.uk/pub/tech-reports/2007/CSR-07-1.pdf},
  abstract = { In this paper we present a toolkit for implementing
                 architectures for intelligent robotic systems. This
                 toolkit is based on a previously developed
                 architecture schema (a set of architecture design
                 rules). The purpose of both the schema and toolkit is
                 to facilitate research into information-processing
                 architectures for state-of-the-art intelligent
                 robots, whilst providing engineering solutions for
                 the development of such systems. A robotic system
                 implemented using the toolkit is presented to
                 demonstrate its key features.  }, 
}
@TechReport{hawesetal06cosy,
 author      = "Nick Hawes and Jeremy Wyatt and Aaron Sloman",
  title       = {An Architecture Schema for Embodied Cognitive Systems},
  institution = {University of Birmingham, School of Computer Science},
  number      = {CSR-06-12},
  month       = {November},
  year        = {2006},
  email       = {N.A.Hawes@cs.bham.ac.uk, J.L.Wyatt@cs.bham.ac.uk, A.Sloman@cs.bham.ac.uk},
  url         = {ftp://ftp.cs.bham.ac.uk/pub/tech-reports/2006/CSR-06-12.pdf},
}

@InProceedings{hawesetal06gc5,
   author =       {Nick Hawes and Aaron Sloman and Jeremy Wyatt},
   title =        {Requirements \& Designs: Asking Scientific Questions About Architectures},
   booktitle = {Proceedings of the AISB '06 Symposium on GC5: Architecture of Brain and Mind: Integrating high level cognitive processes with brain mechanisms and functions in a working robot},
   address = 	{Bristol},
   year =         {2006},
   month =        {April},
}
@TechReport{hawesetal07balt,
  author      = "Nick Hawes and Michael Zillich and Jeremy Wyatt",
  title       = {BALT \& CAST: Middleware for Cognitive Robotics},
  institution = {University of Birmingham, School of Computer Science},
  number      = {CSR-07-1},
  month       = {April},
  year        = {2007},
  email       = {N.A.Hawes@cs.bham.ac.uk, M.Zillich@cs.bham.ac.uk, J.L.Wyatt@cs.bham.ac.uk},
  file        = {/2007/CSR-07-1.pdf},
  url         = {ftp://ftp.cs.bham.ac.uk/pub/tech-reports/2007/CSR-07-1.pdf},
  abstract = { In this paper we present a toolkit for implementing
                 architectures for intelligent robotic systems. This
                 toolkit is based on a previously developed
                 architecture schema (a set of architecture design
                 rules). The purpose of both the schema and toolkit is
                 to facilitate research into information-processing
                 architectures for state-of-the-art intelligent
                 robots, whilst providing engineering solutions for
                 the development of such systems. A robotic system
                 implemented using the toolkit is presented to
                 demonstrate its key features.  }, 
}
@InProceedings{hawesetal07cast,
  author      = {Nick Hawes and Michael Zillich and Jeremy Wyatt},
  title       = {{BALT} \& {CAST}: Middleware for Cognitive Robotics},
  month       = {August},
  year        = {2007},
  booktitle = {Proceedings of IEEE RO-MAN 2007},
  location = {Jeju, Korea},
  pages = {998 -- 1003},
  abstract = {In this paper we present a toolkit for implementing
              architectures for intelligent robotic systems. This
              toolkit is based on an architecture schema (a set of
              architecture design rules). The purpose of both the
              schema and toolkit is to facilitate research into
              information-processing architectures for
              state-of-the-art intelligent robots, whilst providing
              engineering solutions for the development of such
              systems. A robotic system implemented using the toolkit
              is presented to demonstrate its key features.},
  url = {http://www.cs.bham.ac.uk/~nah/bibtex/papers/hawesetal07cast.pdf},
}
@InProceedings{hawesetal07eai,
  author = {Nick Hawes and Aaron Sloman and Jeremy Wyatt},
  title = {Towards an Empirical Exploration of Design Space},
  year = 2007,
  booktitle = {Proc.\ of the 2007 AAAI Workshop on Evaluating Architectures for Intelligence},
  address = {Vancouver, Canada},
  url = {http://www.cs.bham.ac.uk/~nah/bibtex/papers/hawesetal07eai.pdf},
  note = {To appear},
  abstract = {In this paper we propose an empirical method for the
              comparison of architectures designed to produce similar
              behaviour from an intelligent system. The approach is
              based on the exploration of \emph{design space} using
              similar designs that all satisfy the same requirements
              in \emph{niche space}. An example of a possible
              application of this method is given using a robotic
              system that has been implemented using a software
              toolkit that has been designed to support architectural
              experimentation.}, 
}
@inproceedings{hawesetal07playmate,
  author = {Nick Hawes and Aaron Sloman and Jeremy Wyatt and Michael Zillich and Henrik Jacobsson and Geert-Jan Kruijff and Michael Brenner and Gregor Berginc and Danijel Sko\v{c}aj},
title     = {Towards an Integrated Robot with Multiple Cognitive Functions},
  booktitle = {AAAI},
  year      = {2007},
  pages     = {1548-1553},
 publisher = {AAAI Press},
}
@InProceedings{hawesetal08ai,
  author = {Nick Hawes and Jeremy Wyatt and Aaron Sloman},
  title = {Exploring Design Space For An Integrated Intelligent System},
  year = {2008},
  booktitle = {Proceedings of the Twenty-eighth {SGAI} International Conference on Artificial Intelligence ({AI}-2008)},
  address = {Cambridge, England},
  note = {To appear},
  abstract = {Understanding the trade-offs available in the design
                  space of intelligent systems is a major unaddressed
                  element in the study of Artificial Intelligence. In
                  this paper we approach this problem in two
                  ways. First, we discuss the development of our
                  integrated robotic system in terms of its trajectory
                  through design space. Second, we demonstrate the
                  practical implications of architectural design
                  decisions by using this system as an experimental
                  platform for comparing behaviourally similar yet
                  architecturally different systems. The results of
                  this show that our system occupies a "sweet spot" in
                  design space in terms of the cost of moving
                  information between processing components.}, 
}
@Article{hawesetal08kbs,
  author = {Nick Hawes and Jeremy Wyatt and Aaron Sloman},
  title = {Exploring Design Space For An Integrated Intelligent System},
  year = {To Appear},
  journal = {Knowledge Based Systems},
  note = {To appear},
  abstract = {Understanding the trade-offs available in the design
                  space of intelligent systems is a major unaddressed
                  element in the study of Artificial Intelligence. In
                  this paper we approach this problem in two
                  ways. First, we discuss the development of our
                  integrated robotic system in terms of its trajectory
                  through design space. Second, we demonstrate the
                  practical implications of architectural design
                  decisions by using this system as an experimental
                  platform for comparing behaviourally similar yet
                  architecturally different systems. The results of
                  this show that our system occupies a "sweet spot" in
                  design space in terms of the cost of moving
                  information between processing components.}, 
}
@InProceedings{,
  author = 	 {Nick Hawes and Jeremy Wyatt},
  title = 	 {Towards Context-Sensitive Visual Attention},
  booktitle = {Proceedings of the Second International Cognitive Vision Workshop (ICVW06)},
  year = 	 {2006},
  address = 	 {Graz, Austria},
  month = 	 {May},
  url = {http://www.cs.bham.ac.uk/research/projects/cosy/bib-db/papers/haweswyatt06.pdf},
  abstract = {In this paper we present a discussion of information
  processing context and how we believe a visual attention system
  should be influenced by contextual information. We support this
  argument with a proof-of-concept design and implementation of a
  context-sensitive extension to the Itti & Koch model of visual
  attention as part of an architecture for a cognitive system. Our
  model demonstrates improved performance in terms of both fixations
  and processing time on visual search tasks compared to the
  non-extended model.},
}

@InProceedings{haweswyatt08benchmarking,
  author      = {Nick Hawes and Jeremy Wyatt},
  title       = {Benchmarking The Influence of Information-Processing
                  Architectures on Intelligent Systems},
  month       = {June},
  year        = {2008},
  booktitle = {Proceedings of the Robotics: Science \& Systems 2008 Workshop:  Experimental Methodology and Benchmarking in Robotics Research},
  location = {Zurich, Switzerland},
  url = {http://www.cs.bham.ac.uk/~nah/bibtex/papers/haweswyatt08benchmarking.pdf},
}
%% -*-BibTeX-*-


@InProceedings{hoar97evaluation,
  author =	 {J. Hoar and J. Wyatt and G. Hayes},
  title =	 {Multiple Evaluation Techniques for Robot Learning},
  booktitle =	 {10th International Florida AI research symposium
                  (FLAIRS)},
  year =	 1997
}

@Article{inverso04think,
  author = 	 {Sam A. Inverso and Nick Hawes and John Kelleher and Rebecca Allen  and Ken Haase},
  title = 	 {Think And Spell: Context-Sensitive Predictive Text for an Ambiguous Keyboard Brain-Computer Interface Speller},
  journal = 	 {Biomedizinische Technik},
  year = 	 {2004},
  volume = 	 {49},
  number = 	 {1},
  pages = 	 {53-54},
  month = 	 {September},
}

@InProceedings{jacobssonetal07binding,
  title =	 {Crossmodal Content Binding in Information-Processing
                  Architectures},
  author =	   {Henrik Jacobsson and Nick Hawes and Geert-Jan
                  Kruijff and Jeremy Wyatt},
  booktitle =	   {Symposium on Language and Robots},
  address =  {Aveiro, Portugal},
  year =   {2007},
}
@InProceedings{jacobssonetal07learning,
  title =	 {Interactive Learning and Cross-Modal Binding - A
                  Combined Approach},
  author =	   {Henrik Jacobsson and Nick Hawes and Danijel
                  Sko\v{c}aj and Geert-Jan Kruijff},
  booktitle =	   {Symposium on Language and Robots},
  address =  {Aveiro, Portugal},
  year =   {2007}
}
@InProceedings{jacobssonetal08hri,
 author = {Henrik Jacobsson and Nick Hawes and Geert-Jan Kruijff and Jeremy Wyatt},
 title = {Crossmodal content binding in information-processing architectures},
 booktitle = {HRI '08: Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction},
 year = {2008},
 isbn = {978-1-60558-017-3},
 pages = {81--88},
 location = {Amsterdam, The Netherlands},
 doi = {http://doi.acm.org/10.1145/1349822.1349834},
 publisher = {ACM},
 address = {New York, NY, USA},
 }
@InProceedings{kruijffetal06pit,
        author  = {Geert-Jan M. Kruijff and John D. Kelleher and Nick Hawes},
        title           = {Information Fusion For Visual Reference Resolution In Dynamic Situated Dialogue},
        booktitle = {Perception and Interactive Technologies: International Tutorial and Research Workshop, PIT 2006},
        editor  = {Elisabeth Andre and Laila Dybkjaer and Wolfgang Minker and Heiko Neumann and Michael Weber},
        publisher = {Springer Berlin / Heidelberg},
        year    = {2006},
        month = {June},
        ee = {http://dx.doi.org/10.1007/11768029_12},
        series    = {Lecture Notes in Computer Science},
volume = {4021},
address = {Kloster Irsee, Germany},
pages = {117 -- 128}
}
@InProceedings{kruijffetal07incremental,
  title =	 {Incremental, multi-level processing for comprehending situated dialogue in human-robot interaction},
  author =	   {Geert-Jan M. Kruijff and Pierre Lison and Trevor Benjamin and Henrik Jacobsson and Nick Hawes},
  booktitle =	   {Symposium on Language and Robots},
  address =  {Aveiro, Portugal},
  year =   {2007},
}
@InProceedings{kruijffetal08roman,
  author      = {Geert-Jan Kruijff and Michael Brenner and Nick Hawes},
  title       = {Continual Planning for Cross-Modal Situated Clarification in Human-Robot Interaction},
  month       = {August},
  year        = {2008},
  booktitle = {Proceedings of IEEE RO-MAN 2008},
  location = {Munich, Germany},
  abstract = {Robots do not fully understand the world they are
                  situated in. This includes what humans talk to them
                  about. A fundamental problem is thus how a robot can
                  clarify such a lack of understanding. This paper
                  addresses the issue of how a robot can create a plan
                  for resolving a need for clarification. It
                  characterises situated clarification as an
                  information need which may arise in any
                  sensory-motoric modality required to interpret the
                  situated context of the robot, or any deliberative
                  modality referring to that context. It then focuses
                  on how, once a clarification need has been
                  identified, the robot can create a plan in which one
                  or more modalities are used to resolve
                  it. Modalities are involved on the basis of the
                  types of information they can provide. These
                  information types are identified in the ontologies
                  the modalities use to interconnect their content
                  with content of other modalities (via information
                  fusion). We take a continual approach to planning
                  and execution monitoring. This provides the ability
                  to re-plan depending on modality availability and
                  success in resolving (part of) a clarification
                  need. We illustrate the implementation on several
                  examples.},
}
@InProceedings{matsumura03robust,
  author = 	 {Y. Matsumura and X. Yao and J. L. Wyatt and K. Ohkura and K. Ueda},
  title = 	 {Robust Evolution Strategies Applied to Continuous-Time Recurrent Neural Networks},
    booktitle = {Proceedings of the 2nd International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS 2003)},
    year = 	 {2003},
  address = 	 {Singapore},
  
}

%% -*-BibTeX-*-


@InProceedings{matsumuraetal03,
  author =	 {Y. Matsumura and X. Yao and  J.L. Wyatt and K.Ohkura and K. Ueda},
  title =	 {Robust Evolution Strategies Use Adaptive Search Strategies to Design Continuous-Time Recurrent Neural Networks},
  booktitle =	 {Proceedings of the 2nd International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS 2003)},
  pages =	 {PS07-3-03},
  year =	 2003
}

%% -*-BibTeX-*-


@InProceedings{matsumuraetal04a,
  author =	 {Y. Matsumura and N. Fujimoto and  X. Yao and  J.L. Wyatt and K.Hagihara},
  title =	 {Near-Optimal Dynamic Grid Task Scheduling of Evolution Strategies},
  booktitle =	 {4th International Conference on Advanced Mechatronics (ICAM 04)},
  pages =	 {175--180},
  year =	 2004
}

%% -*-BibTeX-*-


@InProceedings{matsumuraetal04b,
  author =	 {Y. Matsumura and N. Fujimoto and  X. Yao and  J.L. Wyatt and K.Hagihara},
  title =	 {Evolution Strategies on Grid Computing},
  booktitle =	 {China-Japan Joint Conference on Mechatronics (CJCM), CJ-H2},
  pages =	 {105--106},
  year =	 2004
}

%% -*-BibTeX-*-


@InProceedings{matsumuraetal06,
  author =	 {Y. Matsumura and Y. Murayama and  N.Fujimoto and K. Hagihara and J. Wyatt and X. Yao},
  title =	 {Evolutionary Strategies in a Local Desktop Grid Environment Using Task Scheduling Algorithms},
  booktitle =	 {},
  pages =	 {},
  year =	 2006
}

@InProceedings{montes03cartesian,
  author = 	 {Hector Montes and Jeremy Wyatt},
  title = 	 {Cartesian Genetic Programming for Image Processing Tasks},
  booktitle = {Proceedings of IASTED International Conference on Neural Networks and Computational Intelligence (NCI 2003)},
  year = 	 {2003},
  address = 	 {Cancun, Mexico},
}

@InProceedings{reynolds00partitioning,
  author = 	 {Stuart I. Reynolds},
  title = 	 {Decision Boundary Partitioning: Variable Resolution Model-Free Reinforcement Learning},
  booktitle = {Proceedings of the 17th International Conference on Machine Learning (ICML-2000)},
  pages = 	 {783--790},
  year = 	 {2000},
  publisher = {Morgan Kaufmann},
}

@InProceedings{reynolds01adaptive,
  author = 	 {Stuart I. Reynolds},
  title = 	 {Adaptive Representation Methods for Reinforcement Learning},
  booktitle = {Advances in Artificial Intelligence, (14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence (AI-2001)},
  pages = 	 {345--348},
  year = 	 {2001},
  number = 	 {2056},
  series = 	 {Lecture Notes in Artificial Intelligence},
  address = 	 {Ottawa, Canada},
  month = 	 {June},
  publisher = {Springer-Verlag},
}

@InProceedings{reynolds01curse,
  author = 	 {Stuart I. Reynolds},
  title = 	 {The Curse of Optimism},
  booktitle = {Proceedings of the Fifth European Workshop on Reinforcement Learning},
  year = 	 {2001},
  address = 	 {Utrecht, The Netherlands},
  month = 	 {October},
}

@InProceedings{reynolds01forwardlambda,
  author = 	 {Stuart I. Reynolds},
  title = 	 {Experience Stack Reinforcement Learning: An Online Forward lambda-Return Method},
  booktitle = {Proceedings of the Fifth European Workshop on Reinforcement Learning},
  year = 	 {2001},
  address = 	 {Utrecht, The Netherlands},
  month = 	 {October},
}

@InProceedings{reynolds01qvalues,
  author = 	 {Stuart I. Reynolds},
  title = 	 {Optimistic Initial Q-values and the max Operator},
   booktitle = {First UK Workshop on Computational Intelligence (UKCI`01)},
   year = 	 {2001},
 address = 	 {Edinburgh, Scotland},
  month = 	 {September},
}

@TechReport{reynolds02offpolicy,
  author = 	 {Stuart I. Reynolds},
  title = 	 {Experience Stack Reinforcment Learning for Off-Policy Control},
  institution =  {School of Computer Science, The University of Birmingham},
  year = 	 {2002},
  number = 	 {CSRP-02-01},
  address = 	 {Birmingham, UK},
  month = 	 {January},
}

@TechReport{reynolds02qlambda,
  author = 	 {Stuart I. Reynolds and Marco A. Wiering},
  title = 	 {Fast Q(lambda) Revisited},
  institution =  {School of Computer Science, The University of Birmingham},
  year = 	 {2002},
  number = 	 {CSRP-02-02},
  address = 	 {Birmingham, UK},
  month = 	 {May},
}

@InProceedings{reynolds02stability,
  author = 	 {Stuart I. Reynolds},
  title = 	 {The Stability of General Discounted Reinforcement Learning with Linear Function Approximation},
  booktitle = {UK Workshop on Computational Intelligence (UKCI-02)},
  year = 	 {2002},
  address = 	 {Birmingham, UK},
  month = 	 {September},
}

@InProceedings{reynolds99issues,
  author = 	 {Stuart I. Reynolds},
  title = 	 {Issues in Adaptive Representation Reinforcement Learning},
  booktitle = {4th European Workshop on Reinforcement Learning (EWRL-4)},
  year = 	 {1999},
  address = 	 {Lugano, Switzerland},
  month = 	 {October},
 }

%% -*-BibTeX-*-


@InProceedings{ritthipravatetal04,
  author =	 {Panrasee Ritthipravat and Thavida Maneewarn and Djitt Laowattana and Jeremy Wyatt},
  title =	 {A Modified Approach to Fuzzy Q Learning for Mobile Robots},
  booktitle =	 {Proceedings of IEEE SMC 2004, International Conference on Systems, Man and Cybernetics},
  pages =	 {2350--2356},
  year =	 2004
}

@inproceedings{skocajetal07,
author = "D. Sko\v{c}aj and G. Berginc and B. Ridge and A. \v{S}timec 
and M. Jogan and O. Vanek and A. Leonardis and M. Hutter and N. Hawes",
title = "A System for Continuous Learning of Visual Concepts",
booktitle = "International Conference on Computer Vision Systems ICVS 2007",
address= "Bielefeld, Germany",
year = "2007",
}
@InProceedings{slomanetal06cogrob,
  author = 	 {Aaron Sloman and Jeremy Wyatt and Nick Hawes and Jackie Chappell and Geert-Jan M. Kruijff},
  title = 	 {Long Term Requirements for Cognitive Robotics},
  booktitle = {Proceedings CogRob2006,  The Fifth International Cognitive Robotics Workshop. The AAAI-06  Workshop on Cognitive Robotics},
  year = 	 {2006},
  address = 	 {Boston, Massachusetts, USA},
  month = 	 {July},
  url = {},
  abstract = {This paper discusses some of the long term objectives of cognitive robotics and some of the requirements for meeting those objectives that are still a very long way off. These include requirements for visual perception, for architectures, for kinds of learning, and for innate competences needed to drive learning and development in a variety of different environments. The work arises mainly out of research on requirements for forms of representation and architectures within the PlayMate scenario, which is a scenario concerned with a robot that perceives, interacts with and talks about 3-D objects on a tabletop, one of the scenarios in the EC-funded CoSy Robotics project.},
}

@TechReport{sridharanetal07,
  author      = {Mohan Sridharan and Nick Hawes and Jeremy Wyatt and Richard Dearden and Aaron Sloman},
  title       = {Planning Information Processing and Sensing Actions},
  institution = {University of Birmingham, School of Computer Science},
  number      = {COSY-TR-0706},
  month       = {November},
  year        = {2007},
abstract = { The goal of the CoSy project is to create cognitive
robots to serve as a testbed of theories on how humans work, and to
identify problems and techniques relevant to producing general-purpose
human-like domestic robots. Given the constraints on the resources
available at the robot's disposal and the complexity of the tasks that
the robot has to execute during cognitive interactions with other
agents or humans, it is essential that the robot perform just those
tasks that are necessary for it to achieve its goal. In this paper we
describe our attempts at creating such a system that enables a mobile
robot to plan its information processing and sensing actions. We build
on an existing planning framework, which is based on Continual
Planning. Continual planning combines planning, plan execution and
plan monitoring. Unlike classical planning approaches, here it is not
necessary to model all contingencies in advance -- the agent acts as
soon as it has a feasible plan, in an attempt to gather more
information that would help resolve the uncertainty on the rest of the
plan. We describe how the system addresses challenges such as state
representation, conflict resolution and uncertainty. A few
experimental results are provided to highlight both the advantages and
disadvantages of the current approach, and to motivate directions of
further research. All algorithms are implemented and tested in the
playmate scenario.}  
}

%% -*-BibTeX-*-


@InProceedings{sunmola03committees,
  author =	 {F. Sunmola and J. Wyatt},
  title =	 {Developing Committees of Explorers for Reinforcement
                  Learning Agents},
  booktitle =	 {3rd Symposium on Adaptive Agents and Multi-Agent
                  Systems},
  year =	 2003
}

%% -*-BibTeX-*-


@InProceedings{sunmolawyatt04,
  author =	 {F. Sunmola and J. Wyatt},
  title =	 {Optimistic Model Selection in Structure-based Reinforcement Learning},
  booktitle =	 { Proceedings of the Sixth European Workshop on Reinforcement Learning EWRL-6},
  editor =       {Alain Dutech and Olivier Buffet},
  pages  =       {31--32},
  year =	 2003
}

%% -*-BibTeX-*-


@InProceedings{sunmolawyatt05,
  author =	 {F. Sunmola and J. Wyatt},
  title =	 {Reinforcement Learning using Optimistic Process
                  Filtered Models},
  booktitle =	 {Proceedings of Benelearn'05},
  year =	 2005
}

%% -*-BibTeX-*-


@InProceedings{sunmolawyatt06,
  author =	 {F. Sunmola and J. Wyatt},
  title =	 {Bayesian Inference in Constrained Parameter Markov Decision Processes with Uncertain Transition Probabilities},
  booktitle =	 {Proceedings of the ECAI 2006 Workshop on Planning, Learning and Monitoring with Uncertainty and Dynamic Worlds},
  year =	 2006
}

%% -*-BibTeX-*-


@InProceedings{wyatt00optimistic,
  author =	 {J. Wyatt},
  title =	 {Optimistic Model Selection for Exploration Control},
  booktitle =	 {Learning'00},
  year =	 2000,
  editor =	 {C.Bousono-Calzon et al.}
ggv iee}

%% -*-BibTeX-*-


@InProceedings{wyatt01icml,
  author =	 {J. Wyatt},
  title =	 {Exploration Control in Reinforcement Learning Using
                  Optimistic Model Selection},
  booktitle =	 { Proceedings of the Eighteenth International
                  Conference on Machine Learning},
  year =	 2001,
  editor =	 {A. Danyluk and C. Brodley}
}

%% -*-BibTeX-*-


@InBook{wyatt01overview,
  author =	 {J. Wyatt},
  editor =	 {I.O.Statmescu},
  title =	 {Perspectives on Adaptivity and Learning},
  chapter =	 {Reinforcement Learning: A Brief Overview},
  publisher =	 {Springer},
  year =	 2001
}

@InBook{wyatt02overview,
  author = 	 {Jeremy Wyatt},
  editor = 	 {I.O. Stamatescu},
  title = 	 {Perspectives on Adaptivity and Learning},
  chapter = 	 {Reinforcement Learning: a brief overview},
  publisher = 	 {Springer},
  year = 	 {2002},
  pages = 	 {243 -- 264},
}

%% -*-BibTeX-*-


@InProceedings{wyatt05ijcai,
  author =	 {J. Wyatt},
  title =	 {Planning clarification questions to resolve
                  ambiguous references to objects},
  booktitle =	 {Proceedings of the 4th Workshop on Knowledge and
                  Reasoning in Practical Dialogue Systems, held at
                  IJCAI 05},
  year =	 2005
}

%% -*-BibTeX-*-


@InBook{wyatt05overview,
  author =	 {J. Wyatt},
  editor =	 {L. Bull and T. Kovacs},
  title =	 {Foundations of Learning Classifier Systems},
  chapter =	 {Reinforcement Learning: A Brief Overview},
  publisher =	 {Springer},
  year =	 2005
}

%% -*-BibTeX-*-


@InBook{wyatt05teams,
  author =	 {J. Wyatt, Y. Matsumura and M. Todd},
  editor =	 {Natalie Gold},
  title =	 {Teamwork: Multi-Disciplinary Perspectives},
  chapter =	 {Learning in Robot Teams},
  publisher =	 {Palgrave McMillan},
  year =	 2004,
  pages =	 {236-251}
}

%% -*-BibTeX-*-


@InProceedings{wyatt95aisb,
  author =	 {J. Wyatt},
  title =	 {Issues in putting Reinforcement Learning onto
                  robots},
  booktitle =	 {Mobile Robotics Workshop, 10th Biennal Conference of
                  the AISB},
  year =	 1995,
  address =	 {Sheffield},
  month =	 {April}
}

@InProceedings{wyatt96qlambda,
  author = 	 {Jeremy Wyatt and Gillian Hayes and John Hallam},
  title = 	 {Investigating the Behaviour of Q(lambda)},
  booktitle = {Colloquium on Self-Learning Robots},
  year = 	 {1999},
  address = 	 {London},
  month = 	 {February},
  }

@InProceedings{wyatt97methods,
  author = 	 {Jeremy Wyatt and John Hoar and Gillian Hayes},
  title = 	 {Experimental methods for robot learning},
  booktitle = {Towards Intelligent Mobile Robots - Scientific Methods in Mobile Robotics},
  year = 	 {1999},
  editor = 	 {U. Nehmzow and M. Recce and D. Bisset},
  note = 	 {University of Manchester, Department of Computer Science Tech Report UMCS-97-9-1.},
}

%% -*-BibTeX-*-


@PhdThesis{wyatt97phd,
  author =	 {J. Wyatt},
  title =	 {Exploration and Inference in Learning from
                  Reinforcement},
  school =	 {Department of Artificial Intelligence, University of
                  Edinburgh},
  year =	 1997,
}

%% -*-BibTeX-*-


@Article{wyatt98design,
  author =	 {J. Wyatt, J. Hoar and G. Hayes},
  title =	 {Design, analysis and comparison of robot learners},
  journal =	 {Robotics and Autonomous Systems: Special Issue on
                  quantitative methods in mobile robotics},
  year =	 1998,
  volume =	 24,
  number =	 1,
  pages =	 {17--32}
}

%% -*-BibTeX-*-


@Proceedings{wyattdemiris00ewlr,
  title =	 {Advances in Robot Learning: Proceedings of the 8th
                  European Workshop on Learning Robots},
  year =	 2000,
  editor =	 {J. Wyatt and J. Demiris},
  number =	 1812,
  series =	 {Lecture Notes in AI},
  publisher =	 {Springer-Verlag}
}

@InProceedings{wyatthawes08bica,
  author = {Jeremy Wyatt and Nick Hawes},
  title = {Multiple Workspaces as an Architecture for Cognition},
  year = {2008},
  booktitle = {Proceedings of AAAI 2008 Fall Symposium on Biologically Inspired Cognitive Architectures},
  note = {To appear},
  abstract = {In this paper we describe insights for theories of
                  natural intelligence that arise from recent advances
                  in architectures for robot intelligence. In
                  particular we advocate a sketch theory for the study
                  of both natural and artificial intelligence that
                  consists of a set of constraints on
                  architectures. The sketch includes the use of
                  multiple shared workspaces, parallel asynchronous
                  refinement of shared representations, statistical
                  integration of evidence within and across
                  modalities, massively parallel prediction and
                  content addressable memory to allow binding across
                  workspaces.}, 
}
@InProceedings{yao01traffic,
  author = 	 {X. Yao and M. M. Fischer and G. Brown},
  title = 	 {Neural Network Ensembles and Their Application to Traffic Flow Prediction in Telecommunications Networks},
  booktitle = {Proceedings of the 2001 INNS/IEEE International Joint Conference on Neural Networks (IJCNN'01)},
    year = 	 {2001},
  month = 	 {July},
  publisher = {IEEE Press, Piscataway, NJ, USA},
}

%% -*-BibTeX-*-


@InProceedings{braga04incremental,
  author =	 {A. Braga and  A. Araujo and J. Wyatt},
  title =	 {An Incremental Topological Reinforcement Learning Agent
                  in Non-Structured Environments},
  booktitle =	 {Proceedings of IEEE SMC 2004, International
                  Conference on Systems, Man and Cybernetics},
  pages =	 {5567--5572},
  year =	 2004
}

@InProceedings{brenneretal07ijcai,
  TITLE =       {Mediating Between Qualitative and Quantitative
                  Representations for Task-Orientated Human-Robot
                  Interaction},
  AUTHOR =      {Brenner, M. and Hawes, N. and Kelleher, J. and
                  Wyatt, J.},
  BOOKTITLE =    {Proc.~of the Twentieth International Joint
                  Conference on Artificial Intelligence (IJCAI)},
  ADDRESS =     {Hyderabad, India},
  YEAR =        2007,
  ABSTRACT =     { It is essential for successful human-robot
                  interaction that the robot is able to both
                  qualitatively understand the intended meaning of the
                  human's utterances and to react to them in the
                  continuous real world. In this paper we present a
                  number of novel techniques that collectively allow a
                  robot to interpret and execute spoken commands
                  describing manipulation goals involving qualitative
                  spatial constraints (e.g. ``put the red ball near
                  the blue cube''). The resulting implemented system
                  integrates computer vision, potential field models
                  of spatial relationships, and action planning to
                  mediate between the continuous real world, and
                  discrete, qualitative representations used for
                  symbolic reasoning. }
}       
@InProceedings{brown01negative,
  author = 	 {Gavin Brown and Xin Yao},
  title = 	 {The Effectiveness of Negative Correlation Learning},
   booktitle = {First UK Workshop on Computational Intelligence (UKCI`01)},
   year = 	 {2001},
 address = 	 {Edinburgh, Scotland},
  month = 	 {September},
}

@article{brown04survey,
  author =	 "G. Brown and J. Wyatt and R. Harris and X. Yao",
  title =	 "Diversity Creation Methods: A Survey and
                  Categorisation",
  journal =	 "Journal of Information Fusion",
  volume =	 "6",
  number =	 "1",
  month =	 "March",
  pages =	 "5--20",
  year =	 "2005"
}

@Article{brown04taxonomy,
  author = 	 {Gavin Brown and Jeremy Wyatt and Rachel Harris and Xin Yao},
  title = 	 {A Taxonomy of Neural Network Ensemble Learning Methods},
  journal = 	 {Information Fusion Journal, Special issue on Diversity in Multiple Classifier Systems},
  year = 	 {2004},
  volume = 	 {6},
  number = 	 {1},
  pages = 	 {5--20},
}

%% -*-BibTeX-*-


@InProceedings{brownwyatt03ambiguity,
  author =	 {G. Brown and J. Wyatt},
  title =	 {The Use of the Ambiguity Decomposition in Neural
                  Network Ensemble Learning Methods},
  booktitle =	 {20th {I}nternational {C}onference on {M}achine
                  {L}earning (ICML'03)},
  year =	 2003,
  editor =	 {T. Fawcett and N. Mishra},
  month =	 {August},
  address =	 {Washington DC, USA}
}

%% -*-BibTeX-*-


@inproceedings{brownwyatt03mcs,
  author =	 "G. Brown and J. Wyatt",
  title =	 "Negative Correlation Learning and the Ambiguity
                  Family of Ensemble Methods",
  booktitle =	 "Proc. Int. Workshop on Multiple Classifier Systems
                  (LNCS 2709)",
  publisher =	 "Springer",
  month =	 "June",
  pages =	 "266-275",
  year =	 "2003",
  address =	 "Guildford, Surrey",
  url =
                  "http://link.springer.de/link/service/series/0558/tocs/t2709.htm"
}

%% -*-BibTeX-*-


@inproceedings{brownwyatt05extremes,
  author =	 "G. Brown and J. Wyatt and P. Sun",
  title =	 "Between Two Extremes: Examining Decompositions of
                  the Ensemble Objective Function",
  booktitle =	 "Proc. Int. Workshop on Multiple Classifier Systems
                  (LNCS 3541)",
  publisher =	 "Springer",
  month =	 "June",
  year =	 "2005",
  address =	 "Monterey, California"
}

%% -*-BibTeX-*-


@article{brownwyatt05jmlr,
  title =	 "Managing Diversity in Regression Ensembles",
  author =	 "G. Brown and J. Wyatt and P. Tino",
  journal =	 "Journal of Machine Learning Research",
  volume =	 "6",
  year =	 "2005"
}

%% -*-BibTeX-*-


@InProceedings{brownyao02exploiting,
  author =	 {G. Brown and X. Yao and J. Wyatt and H. Wersing and B. Sendhoff},
  title =	 {Exploiting Ensemble Diversity for Automatic Feature
                  Extraction},
  booktitle =	 {Proc. of the 9th International Conference on Neural
                  Information Processing (ICONIP'02)},
  pages =	 {1786-1790},
  year =	 2002,
  month =	 {November}
}

@InProceedings{funlade03optimistic,
  author = 	 {Funlade Sunmola and Jeremy Wyatt},
  title = 	 {Optimistic Model Selection in Structure Based Reinforcement Learning },
  booktitle = {Sixth European Workshop on Reinforcement Learning (EWRL-6)},
  year = 	 {2003},
  address = 	 {Nancy, France},
  month = 	 {September 4-5},
  }

%% -*-BibTeX-*-


@InProceedings{grossman03semi,
  author =	 {A. Grossmann and M. Wendt and J. Wyatt},
  title =	 {A Semi-supervised Method for Learning the Structure
                  of Robot Environment Interaction},
  booktitle =	 {Proceedings of the 5th International Symposium on
                  Intelligent Data Analysis},
  pages =	 {36--47},
  year =	 2003,
  publisher =	 {Springer-Verlag}
}d

@InProceedings{grossman97continual,
  author = 	 {Axel Großmann and Riccardo Poli},
  title = 	 {Continual robot learning with constructive neural networks},
    booktitle = {Sixth European European Workshop on Learning Robots (EWLR-6)},
    year = 	 {1997},
  address = 	 {Brighton, UK},
  month = 	 {August},
}

@InProceedings{grossman99robust,
  author = 	 {Axel Großmann and Riccardo Poli},
  title = 	 {Robust mobile robot localisation from sparse and noisy proximity readings},
  booktitle = {IJCAI-99 Workshop on Reasoning with Uncertainty in Robot Navigation (RUR-99)},
  year = 	 {1999},
  address = 	 {Stockholm, Sweden},
  month = 	 {August},
  }

%% -*-BibTeX-*-


@PhdThesis{grossmann99phd,
  author =	 {A. Grossmann},
  title =	 {Continual learning for mobile robots},
  school =	 {University of Birmingham},
  year =	 2001,
}

%% -*-BibTeX-*-


@ARTICLE{grossmannpoli00,
        AUTHOR             = {A. Grossmann and R. Poli},
        JOURNAL            = {Robotics and Autonomous Systems},
        PAGES              = {1--18},
        TITLE              = {Robust mobile robot localisation from sparse and noisy proximity readings using Hough transform and probability grids},
        VOLUME             = {37},
        YEAR               = {2001}
}

@ARTICLE{grossmannpoli00robust,
        AUTHOR             = {A. Grossmann and R. Poli},
        JOURNAL            = {Robotics and Autonomous Systems},
        PAGES              = {1--18},
        TITLE              = {Robust mobile robot localisation from sparse and noisy proximity readings using Hough transform and probability grids},
        VOLUME             = {37},
        YEAR               = {2001}
}
@InProceedings{hartley01issues,
  author = 	 {Adrian R. Hartley and Jeremy L. Wyatt},
  title = 	 {Issues in Dynamic Hidden Markov Modelling},
  booktitle = {Proceedings of the Fifth European Workshop on Reinforcement Learning},
  year = 	 {2001},
  address = 	 {Utrecht, The Netherlands},
  month = 	 {October},
}

@InProceedings{hartley01task,
  author = 	 {Adrian R. Hartley and Jeremy L. Wyatt},
  title = 	 { Issues in Hidden Markov Modelling and Task Driven Perception},
  booktitle = {AAAI Spring Symposium: Learning Grounded Representations},
  year = 	 {2001},
}

%% -*-BibTeX-*-


@PHDTHESIS{hartley05,
        AUTHOR             = {A. Hartley},
        SCHOOL             = {University of Birmingham},
        TITLE              = {Utile Distinctions as an Approach to Hidden State Problems},
        YEAR               = {2005}
}

@PHDTHESIS{hartley05phd,
        AUTHOR             = {A. Hartley},
        SCHOOL             = {University of Birmingham},
        TITLE              = {Utile Distinctions as an Approach to Hidden State Problems},
        YEAR               = {2005}
}
@InProceedings{hartley99accuracy,
  author = 	 {Adrian R. Hartley},
  title = 	 {Accuracy-based fitness allows similar performance to humans in static and dynamic classification environments},
    booktitle = {GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference},
  pages = 	 {266--273},
  year = 	 {1999},
  editor = 	 {W. Banzhaf and J. Daida andd A. E. Eiben and M. H. Garzon and V. Honavar and M. Jakiela and R. E. Smith},
  publisher = {Morgan Kaufmann},
}

@InProceedings
{hawes00goalorientated,
    author = "Nick Hawes",
    title = "Real-Time Goal-Orientated Behaviour For Computer Game Agents",
  year = "2000",
  booktitle = "Game-On 2000, 1st International Conference on Intelligent
Games and Simulation",
  pages = "71--75",
}

@InProceedings
{hawes01anytime,
    author = "Nick Hawes",
    title = "Anytime Planning For Agent Behaviour",
    year = "2001",
    booktitle = "Proceedings of the Twelth Workshop of the UK Planning and
Scheduling Special Interest Group",
    pages = "157--166",
}
@InProceedings
{hawes02anytimeagent,
    author = "Nick Hawes",
    title = "An Anytime Planning Agent For Computer Game Worlds",
    year = "2002",
    booktitle = "Workshop on Agents in Computer Games at The 3rd International
Conference on Computers and Games ({CG}'02)",
    pages = "1--14",
}
@inproceedings{hawes04analogy,
abstract = {This paper presents a novel domain independent algorithm for constructing analogies using relationship-based structure-mapping. This algorithm is used as a core component in a system that solves visual analogy IQ test problems.},
author = {Hawes, Nick   and Kelleher, John  },
booktitle = {STAIRS 2004: Proceedings of the Second Starting AI Researchers' Symposium},
keywords = {alignment analogy structure-mapping},
pages = {205--210},
publisher = {IOS Press},
series = {Frontiers in Artificial Intelligence and Applications},
title = {Analogy by Alignment: On Structure Mapping And Similarity},
year = {2004}
}
@inproceedings{hawes04cst9,
	abstract = {Predictive text input using a single-tap entry method is currently the standard for text entry in the mobile domain. One problem facing this approach is which word to present to the user when more than one word matches an input sequence. The standard single-tap approach selects words using corpus occurrence frequencies, ignoring linguistic context. This can lead to the selection of words that are unrelated to the current input. In this paper we present an implementation of a context-aware...},
	author = {Hawes, Nick   and Kelleher, John  },
	booktitle = {STAIRS 2004: Proceedings of the Second Starting AI Researchers' Symposium},
	keywords = {context mobilephones textentry},
	pages = {217--222},
	publisher = {IOS Press},
	title = {Context-Sensitive Word Selection For Single-Tap Text Entry},
	year = {2004}
}

















@PhdThesis{hawes04phd,
  author = 	 {Nick Hawes},
  title = 	 {Anytime Deliberation for Computer Game Agents},
  school = 	 {School of Computer Science, University of Birmingham},
  year = 	 {2004},
}

@TechReport{hawesetal07balt,
  author      = "Nick Hawes and Michael Zillich and Jeremy Wyatt",
  title       = {BALT & CAST: Middleware for Cognitive Robotics},
  institution = {University of Birmingham, School of Computer Science},
  number      = {CSR-07-1},
  month       = {April},
  year        = {2007},
  email       = {N.A.Hawes@cs.bham.ac.uk, M.Zillich@cs.bham.ac.uk, J.L.Wyatt@cs.bham.ac.uk},
  file        = {/2007/CSR-07-1.pdf},
  url         = {ftp://ftp.cs.bham.ac.uk/pub/tech-reports/2007/CSR-07-1.pdf},
  abstract = { In this paper we present a toolkit for implementing
                 architectures for intelligent robotic systems. This
                 toolkit is based on a previously developed
                 architecture schema (a set of architecture design
                 rules). The purpose of both the schema and toolkit is
                 to facilitate research into information-processing
                 architectures for state-of-the-art intelligent
                 robots, whilst providing engineering solutions for
                 the development of such systems. A robotic system
                 implemented using the toolkit is presented to
                 demonstrate its key features.  }, 
}
@TechReport{hawesetal06cosy,
 author      = "Nick Hawes and Jeremy Wyatt and Aaron Sloman",
  title       = {An Architecture Schema for Embodied Cognitive Systems},
  institution = {University of Birmingham, School of Computer Science},
  number      = {CSR-06-12},
  month       = {November},
  year        = {2006},
  email       = {N.A.Hawes@cs.bham.ac.uk, J.L.Wyatt@cs.bham.ac.uk, A.Sloman@cs.bham.ac.uk},
  url         = {ftp://ftp.cs.bham.ac.uk/pub/tech-reports/2006/CSR-06-12.pdf},
}

@InProceedings{hawesetal06gc5,
   author =       {Nick Hawes and Aaron Sloman and Jeremy Wyatt},
   title =        {Requirements \& Designs: Asking Scientific Questions About Architectures},
   booktitle = {Proceedings of the AISB '06 Symposium on GC5: Architecture of Brain and Mind: Integrating high level cognitive processes with brain mechanisms and functions in a working robot},
   address = 	{Bristol},
   year =         {2006},
   month =        {April},
}
@TechReport{hawesetal07balt,
  author      = "Nick Hawes and Michael Zillich and Jeremy Wyatt",
  title       = {BALT \& CAST: Middleware for Cognitive Robotics},
  institution = {University of Birmingham, School of Computer Science},
  number      = {CSR-07-1},
  month       = {April},
  year        = {2007},
  email       = {N.A.Hawes@cs.bham.ac.uk, M.Zillich@cs.bham.ac.uk, J.L.Wyatt@cs.bham.ac.uk},
  file        = {/2007/CSR-07-1.pdf},
  url         = {ftp://ftp.cs.bham.ac.uk/pub/tech-reports/2007/CSR-07-1.pdf},
  abstract = { In this paper we present a toolkit for implementing
                 architectures for intelligent robotic systems. This
                 toolkit is based on a previously developed
                 architecture schema (a set of architecture design
                 rules). The purpose of both the schema and toolkit is
                 to facilitate research into information-processing
                 architectures for state-of-the-art intelligent
                 robots, whilst providing engineering solutions for
                 the development of such systems. A robotic system
                 implemented using the toolkit is presented to
                 demonstrate its key features.  }, 
}
@InProceedings{hawesetal07cast,
  author      = {Nick Hawes and Michael Zillich and Jeremy Wyatt},
  title       = {{BALT} \& {CAST}: Middleware for Cognitive Robotics},
  month       = {August},
  year        = {2007},
  booktitle = {Proceedings of IEEE RO-MAN 2007},
  location = {Jeju, Korea},
  pages = {998 -- 1003},
  abstract = {In this paper we present a toolkit for implementing
              architectures for intelligent robotic systems. This
              toolkit is based on an architecture schema (a set of
              architecture design rules). The purpose of both the
              schema and toolkit is to facilitate research into
              information-processing architectures for
              state-of-the-art intelligent robots, whilst providing
              engineering solutions for the development of such
              systems. A robotic system implemented using the toolkit
              is presented to demonstrate its key features.},
  url = {http://www.cs.bham.ac.uk/~nah/bibtex/papers/hawesetal07cast.pdf},
}
@InProceedings{hawesetal07eai,
  author = {Nick Hawes and Aaron Sloman and Jeremy Wyatt},
  title = {Towards an Empirical Exploration of Design Space},
  year = 2007,
  booktitle = {Proc.\ of the 2007 AAAI Workshop on Evaluating Architectures for Intelligence},
  address = {Vancouver, Canada},
  url = {http://www.cs.bham.ac.uk/~nah/bibtex/papers/hawesetal07eai.pdf},
  note = {To appear},
  abstract = {In this paper we propose an empirical method for the
              comparison of architectures designed to produce similar
              behaviour from an intelligent system. The approach is
              based on the exploration of \emph{design space} using
              similar designs that all satisfy the same requirements
              in \emph{niche space}. An example of a possible
              application of this method is given using a robotic
              system that has been implemented using a software
              toolkit that has been designed to support architectural
              experimentation.}, 
}
@inproceedings{hawesetal07playmate,
  author = {Nick Hawes and Aaron Sloman and Jeremy Wyatt and Michael Zillich and Henrik Jacobsson and Geert-Jan Kruijff and Michael Brenner and Gregor Berginc and Danijel Sko\v{c}aj},
title     = {Towards an Integrated Robot with Multiple Cognitive Functions},
  booktitle = {AAAI},
  year      = {2007},
  pages     = {1548-1553},
 publisher = {AAAI Press},
}
@InProceedings{hawesetal08ai,
  author = {Nick Hawes and Jeremy Wyatt and Aaron Sloman},
  title = {Exploring Design Space For An Integrated Intelligent System},
  year = {2008},
  booktitle = {Proceedings of the Twenty-eighth {SGAI} International Conference on Artificial Intelligence ({AI}-2008)},
  address = {Cambridge, England},
  note = {To appear},
  abstract = {Understanding the trade-offs available in the design
                  space of intelligent systems is a major unaddressed
                  element in the study of Artificial Intelligence. In
                  this paper we approach this problem in two
                  ways. First, we discuss the development of our
                  integrated robotic system in terms of its trajectory
                  through design space. Second, we demonstrate the
                  practical implications of architectural design
                  decisions by using this system as an experimental
                  platform for comparing behaviourally similar yet
                  architecturally different systems. The results of
                  this show that our system occupies a "sweet spot" in
                  design space in terms of the cost of moving
                  information between processing components.}, 
}
@Article{hawesetal08kbs,
  author = {Nick Hawes and Jeremy Wyatt and Aaron Sloman},
  title = {Exploring Design Space For An Integrated Intelligent System},
  year = {To Appear},
  journal = {Knowledge Based Systems},
  note = {To appear},
  abstract = {Understanding the trade-offs available in the design
                  space of intelligent systems is a major unaddressed
                  element in the study of Artificial Intelligence. In
                  this paper we approach this problem in two
                  ways. First, we discuss the development of our
                  integrated robotic system in terms of its trajectory
                  through design space. Second, we demonstrate the
                  practical implications of architectural design
                  decisions by using this system as an experimental
                  platform for comparing behaviourally similar yet
                  architecturally different systems. The results of
                  this show that our system occupies a "sweet spot" in
                  design space in terms of the cost of moving
                  information between processing components.}, 
}
@InProceedings{,
  author = 	 {Nick Hawes and Jeremy Wyatt},
  title = 	 {Towards Context-Sensitive Visual Attention},
  booktitle = {Proceedings of the Second International Cognitive Vision Workshop (ICVW06)},
  year = 	 {2006},
  address = 	 {Graz, Austria},
  month = 	 {May},
  url = {http://www.cs.bham.ac.uk/research/projects/cosy/bib-db/papers/haweswyatt06.pdf},
  abstract = {In this paper we present a discussion of information
  processing context and how we believe a visual attention system
  should be influenced by contextual information. We support this
  argument with a proof-of-concept design and implementation of a
  context-sensitive extension to the Itti & Koch model of visual
  attention as part of an architecture for a cognitive system. Our
  model demonstrates improved performance in terms of both fixations
  and processing time on visual search tasks compared to the
  non-extended model.},
}

@InProceedings{haweswyatt08benchmarking,
  author      = {Nick Hawes and Jeremy Wyatt},
  title       = {Benchmarking The Influence of Information-Processing
                  Architectures on Intelligent Systems},
  month       = {June},
  year        = {2008},
  booktitle = {Proceedings of the Robotics: Science \& Systems 2008 Workshop:  Experimental Methodology and Benchmarking in Robotics Research},
  location = {Zurich, Switzerland},
  url = {http://www.cs.bham.ac.uk/~nah/bibtex/papers/haweswyatt08benchmarking.pdf},
}
%% -*-BibTeX-*-


@InProceedings{hoar97evaluation,
  author =	 {J. Hoar and J. Wyatt and G. Hayes},
  title =	 {Multiple Evaluation Techniques for Robot Learning},
  booktitle =	 {10th International Florida AI research symposium
                  (FLAIRS)},
  year =	 1997
}

@Article{inverso04think,
  author = 	 {Sam A. Inverso and Nick Hawes and John Kelleher and Rebecca Allen  and Ken Haase},
  title = 	 {Think And Spell: Context-Sensitive Predictive Text for an Ambiguous Keyboard Brain-Computer Interface Speller},
  journal = 	 {Biomedizinische Technik},
  year = 	 {2004},
  volume = 	 {49},
  number = 	 {1},
  pages = 	 {53-54},
  month = 	 {September},
}

@InProceedings{jacobssonetal07binding,
  title =	 {Crossmodal Content Binding in Information-Processing
                  Architectures},
  author =	   {Henrik Jacobsson and Nick Hawes and Geert-Jan
                  Kruijff and Jeremy Wyatt},
  booktitle =	   {Symposium on Language and Robots},
  address =  {Aveiro, Portugal},
  year =   {2007},
}
@InProceedings{jacobssonetal07learning,
  title =	 {Interactive Learning and Cross-Modal Binding - A
                  Combined Approach},
  author =	   {Henrik Jacobsson and Nick Hawes and Danijel
                  Sko\v{c}aj and Geert-Jan Kruijff},
  booktitle =	   {Symposium on Language and Robots},
  address =  {Aveiro, Portugal},
  year =   {2007}
}
@InProceedings{jacobssonetal08hri,
 author = {Henrik Jacobsson and Nick Hawes and Geert-Jan Kruijff and Jeremy Wyatt},
 title = {Crossmodal content binding in information-processing architectures},
 booktitle = {HRI '08: Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction},
 year = {2008},
 isbn = {978-1-60558-017-3},
 pages = {81--88},
 location = {Amsterdam, The Netherlands},
 doi = {http://doi.acm.org/10.1145/1349822.1349834},
 publisher = {ACM},
 address = {New York, NY, USA},
 }
@InProceedings{kruijffetal06pit,
        author  = {Geert-Jan M. Kruijff and John D. Kelleher and Nick Hawes},
        title           = {Information Fusion For Visual Reference Resolution In Dynamic Situated Dialogue},
        booktitle = {Perception and Interactive Technologies: International Tutorial and Research Workshop, PIT 2006},
        editor  = {Elisabeth Andre and Laila Dybkjaer and Wolfgang Minker and Heiko Neumann and Michael Weber},
        publisher = {Springer Berlin / Heidelberg},
        year    = {2006},
        month = {June},
        ee = {http://dx.doi.org/10.1007/11768029_12},
        series    = {Lecture Notes in Computer Science},
volume = {4021},
address = {Kloster Irsee, Germany},
pages = {117 -- 128}
}
@InProceedings{kruijffetal07incremental,
  title =	 {Incremental, multi-level processing for comprehending situated dialogue in human-robot interaction},
  author =	   {Geert-Jan M. Kruijff and Pierre Lison and Trevor Benjamin and Henrik Jacobsson and Nick Hawes},
  booktitle =	   {Symposium on Language and Robots},
  address =  {Aveiro, Portugal},
  year =   {2007},
}
@InProceedings{kruijffetal08roman,
  author      = {Geert-Jan Kruijff and Michael Brenner and Nick Hawes},
  title       = {Continual Planning for Cross-Modal Situated Clarification in Human-Robot Interaction},
  month       = {August},
  year        = {2008},
  booktitle = {Proceedings of IEEE RO-MAN 2008},
  location = {Munich, Germany},
  abstract = {Robots do not fully understand the world they are
                  situated in. This includes what humans talk to them
                  about. A fundamental problem is thus how a robot can
                  clarify such a lack of understanding. This paper
                  addresses the issue of how a robot can create a plan
                  for resolving a need for clarification. It
                  characterises situated clarification as an
                  information need which may arise in any
                  sensory-motoric modality required to interpret the
                  situated context of the robot, or any deliberative
                  modality referring to that context. It then focuses
                  on how, once a clarification need has been
                  identified, the robot can create a plan in which one
                  or more modalities are used to resolve
                  it. Modalities are involved on the basis of the
                  types of information they can provide. These
                  information types are identified in the ontologies
                  the modalities use to interconnect their content
                  with content of other modalities (via information
                  fusion). We take a continual approach to planning
                  and execution monitoring. This provides the ability
                  to re-plan depending on modality availability and
                  success in resolving (part of) a clarification
                  need. We illustrate the implementation on several
                  examples.},
}
@InProceedings{matsumura03robust,
  author = 	 {Y. Matsumura and X. Yao and J. L. Wyatt and K. Ohkura and K. Ueda},
  title = 	 {Robust Evolution Strategies Applied to Continuous-Time Recurrent Neural Networks},
    booktitle = {Proceedings of the 2nd International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS 2003)},
    year = 	 {2003},
  address = 	 {Singapore},
  
}

%% -*-BibTeX-*-


@InProceedings{matsumuraetal03,
  author =	 {Y. Matsumura and X. Yao and  J.L. Wyatt and K.Ohkura and K. Ueda},
  title =	 {Robust Evolution Strategies Use Adaptive Search Strategies to Design Continuous-Time Recurrent Neural Networks},
  booktitle =	 {Proceedings of the 2nd International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS 2003)},
  pages =	 {PS07-3-03},
  year =	 2003
}

%% -*-BibTeX-*-


@InProceedings{matsumuraetal04a,
  author =	 {Y. Matsumura and N. Fujimoto and  X. Yao and  J.L. Wyatt and K.Hagihara},
  title =	 {Near-Optimal Dynamic Grid Task Scheduling of Evolution Strategies},
  booktitle =	 {4th International Conference on Advanced Mechatronics (ICAM 04)},
  pages =	 {175--180},
  year =	 2004
}

%% -*-BibTeX-*-


@InProceedings{matsumuraetal04b,
  author =	 {Y. Matsumura and N. Fujimoto and  X. Yao and  J.L. Wyatt and K.Hagihara},
  title =	 {Evolution Strategies on Grid Computing},
  booktitle =	 {China-Japan Joint Conference on Mechatronics (CJCM), CJ-H2},
  pages =	 {105--106},
  year =	 2004
}

%% -*-BibTeX-*-


@InProceedings{matsumuraetal06,
  author =	 {Y. Matsumura and Y. Murayama and  N.Fujimoto and K. Hagihara and J. Wyatt and X. Yao},
  title =	 {Evolutionary Strategies in a Local Desktop Grid Environment Using Task Scheduling Algorithms},
  booktitle =	 {},
  pages =	 {},
  year =	 2006
}

@InProceedings{montes03cartesian,
  author = 	 {Hector Montes and Jeremy Wyatt},
  title = 	 {Cartesian Genetic Programming for Image Processing Tasks},
  booktitle = {Proceedings of IASTED International Conference on Neural Networks and Computational Intelligence (NCI 2003)},
  year = 	 {2003},
  address = 	 {Cancun, Mexico},
}

@InProceedings{reynolds00partitioning,
  author = 	 {Stuart I. Reynolds},
  title = 	 {Decision Boundary Partitioning: Variable Resolution Model-Free Reinforcement Learning},
  booktitle = {Proceedings of the 17th International Conference on Machine Learning (ICML-2000)},
  pages = 	 {783--790},
  year = 	 {2000},
  publisher = {Morgan Kaufmann},
}

@InProceedings{reynolds01adaptive,
  author = 	 {Stuart I. Reynolds},
  title = 	 {Adaptive Representation Methods for Reinforcement Learning},
  booktitle = {Advances in Artificial Intelligence, (14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence (AI-2001)},
  pages = 	 {345--348},
  year = 	 {2001},
  number = 	 {2056},
  series = 	 {Lecture Notes in Artificial Intelligence},
  address = 	 {Ottawa, Canada},
  month = 	 {June},
  publisher = {Springer-Verlag},
}

@InProceedings{reynolds01curse,
  author = 	 {Stuart I. Reynolds},
  title = 	 {The Curse of Optimism},
  booktitle = {Proceedings of the Fifth European Workshop on Reinforcement Learning},
  year = 	 {2001},
  address = 	 {Utrecht, The Netherlands},
  month = 	 {October},
}

@InProceedings{reynolds01forwardlambda,
  author = 	 {Stuart I. Reynolds},
  title = 	 {Experience Stack Reinforcement Learning: An Online Forward lambda-Return Method},
  booktitle = {Proceedings of the Fifth European Workshop on Reinforcement Learning},
  year = 	 {2001},
  address = 	 {Utrecht, The Netherlands},
  month = 	 {October},
}

@InProceedings{reynolds01qvalues,
  author = 	 {Stuart I. Reynolds},
  title = 	 {Optimistic Initial Q-values and the max Operator},
   booktitle = {First UK Workshop on Computational Intelligence (UKCI`01)},
   year = 	 {2001},
 address = 	 {Edinburgh, Scotland},
  month = 	 {September},
}

@TechReport{reynolds02offpolicy,
  author = 	 {Stuart I. Reynolds},
  title = 	 {Experience Stack Reinforcment Learning for Off-Policy Control},
  institution =  {School of Computer Science, The University of Birmingham},
  year = 	 {2002},
  number = 	 {CSRP-02-01},
  address = 	 {Birmingham, UK},
  month = 	 {January},
}

@TechReport{reynolds02qlambda,
  author = 	 {Stuart I. Reynolds and Marco A. Wiering},
  title = 	 {Fast Q(lambda) Revisited},
  institution =  {School of Computer Science, The University of Birmingham},
  year = 	 {2002},
  number = 	 {CSRP-02-02},
  address = 	 {Birmingham, UK},
  month = 	 {May},
}

@InProceedings{reynolds02stability,
  author = 	 {Stuart I. Reynolds},
  title = 	 {The Stability of General Discounted Reinforcement Learning with Linear Function Approximation},
  booktitle = {UK Workshop on Computational Intelligence (UKCI-02)},
  year = 	 {2002},
  address = 	 {Birmingham, UK},
  month = 	 {September},
}

@InProceedings{reynolds99issues,
  author = 	 {Stuart I. Reynolds},
  title = 	 {Issues in Adaptive Representation Reinforcement Learning},
  booktitle = {4th European Workshop on Reinforcement Learning (EWRL-4)},
  year = 	 {1999},
  address = 	 {Lugano, Switzerland},
  month = 	 {October},
 }

%% -*-BibTeX-*-


@InProceedings{ritthipravatetal04,
  author =	 {Panrasee Ritthipravat and Thavida Maneewarn and Djitt Laowattana and Jeremy Wyatt},
  title =	 {A Modified Approach to Fuzzy Q Learning for Mobile Robots},
  booktitle =	 {Proceedings of IEEE SMC 2004, International Conference on Systems, Man and Cybernetics},
  pages =	 {2350--2356},
  year =	 2004
}

@inproceedings{skocajetal07,
author = "D. Sko\v{c}aj and G. Berginc and B. Ridge and A. \v{S}timec 
and M. Jogan and O. Vanek and A. Leonardis and M. Hutter and N. Hawes",
title = "A System for Continuous Learning of Visual Concepts",
booktitle = "International Conference on Computer Vision Systems ICVS 2007",
address= "Bielefeld, Germany",
year = "2007",
}
@InProceedings{slomanetal06cogrob,
  author = 	 {Aaron Sloman and Jeremy Wyatt and Nick Hawes and Jackie Chappell and Geert-Jan M. Kruijff},
  title = 	 {Long Term Requirements for Cognitive Robotics},
  booktitle = {Proceedings CogRob2006,  The Fifth International Cognitive Robotics Workshop. The AAAI-06  Workshop on Cognitive Robotics},
  year = 	 {2006},
  address = 	 {Boston, Massachusetts, USA},
  month = 	 {July},
  url = {},
  abstract = {This paper discusses some of the long term objectives of cognitive robotics and some of the requirements for meeting those objectives that are still a very long way off. These include requirements for visual perception, for architectures, for kinds of learning, and for innate competences needed to drive learning and development in a variety of different environments. The work arises mainly out of research on requirements for forms of representation and architectures within the PlayMate scenario, which is a scenario concerned with a robot that perceives, interacts with and talks about 3-D objects on a tabletop, one of the scenarios in the EC-funded CoSy Robotics project.},
}

@TechReport{sridharanetal07,
  author      = {Mohan Sridharan and Nick Hawes and Jeremy Wyatt and Richard Dearden and Aaron Sloman},
  title       = {Planning Information Processing and Sensing Actions},
  institution = {University of Birmingham, School of Computer Science},
  number      = {COSY-TR-0706},
  month       = {November},
  year        = {2007},
abstract = { The goal of the CoSy project is to create cognitive
robots to serve as a testbed of theories on how humans work, and to
identify problems and techniques relevant to producing general-purpose
human-like domestic robots. Given the constraints on the resources
available at the robot's disposal and the complexity of the tasks that
the robot has to execute during cognitive interactions with other
agents or humans, it is essential that the robot perform just those
tasks that are necessary for it to achieve its goal. In this paper we
describe our attempts at creating such a system that enables a mobile
robot to plan its information processing and sensing actions. We build
on an existing planning framework, which is based on Continual
Planning. Continual planning combines planning, plan execution and
plan monitoring. Unlike classical planning approaches, here it is not
necessary to model all contingencies in advance -- the agent acts as
soon as it has a feasible plan, in an attempt to gather more
information that would help resolve the uncertainty on the rest of the
plan. We describe how the system addresses challenges such as state
representation, conflict resolution and uncertainty. A few
experimental results are provided to highlight both the advantages and
disadvantages of the current approach, and to motivate directions of
further research. All algorithms are implemented and tested in the
playmate scenario.}  
}

%% -*-BibTeX-*-


@InProceedings{sunmola03committees,
  author =	 {F. Sunmola and J. Wyatt},
  title =	 {Developing Committees of Explorers for Reinforcement
                  Learning Agents},
  booktitle =	 {3rd Symposium on Adaptive Agents and Multi-Agent
                  Systems},
  year =	 2003
}

%% -*-BibTeX-*-


@InProceedings{sunmolawyatt04,
  author =	 {F. Sunmola and J. Wyatt},
  title =	 {Optimistic Model Selection in Structure-based Reinforcement Learning},
  booktitle =	 { Proceedings of the Sixth European Workshop on Reinforcement Learning EWRL-6},
  editor =       {Alain Dutech and Olivier Buffet},
  pages  =       {31--32},
  year =	 2003
}

%% -*-BibTeX-*-


@InProceedings{sunmolawyatt05,
  author =	 {F. Sunmola and J. Wyatt},
  title =	 {Reinforcement Learning using Optimistic Process
                  Filtered Models},
  booktitle =	 {Proceedings of Benelearn'05},
  year =	 2005
}

%% -*-BibTeX-*-


@InProceedings{sunmolawyatt06,
  author =	 {F. Sunmola and J. Wyatt},
  title =	 {Bayesian Inference in Constrained Parameter Markov Decision Processes with Uncertain Transition Probabilities},
  booktitle =	 {Proceedings of the ECAI 2006 Workshop on Planning, Learning and Monitoring with Uncertainty and Dynamic Worlds},
  year =	 2006
}

%% -*-BibTeX-*-


@InProceedings{wyatt00optimistic,
  author =	 {J. Wyatt},
  title =	 {Optimistic Model Selection for Exploration Control},
  booktitle =	 {Learning'00},
  year =	 2000,
  editor =	 {C.Bousono-Calzon et al.}
ggv iee}

%% -*-BibTeX-*-


@InProceedings{wyatt01icml,
  author =	 {J. Wyatt},
  title =	 {Exploration Control in Reinforcement Learning Using
                  Optimistic Model Selection},
  booktitle =	 { Proceedings of the Eighteenth International
                  Conference on Machine Learning},
  year =	 2001,
  editor =	 {A. Danyluk and C. Brodley}
}

%% -*-BibTeX-*-


@InBook{wyatt01overview,
  author =	 {J. Wyatt},
  editor =	 {I.O.Statmescu},
  title =	 {Perspectives on Adaptivity and Learning},
  chapter =	 {Reinforcement Learning: A Brief Overview},
  publisher =	 {Springer},
  year =	 2001
}

@InBook{wyatt02overview,
  author = 	 {Jeremy Wyatt},
  editor = 	 {I.O. Stamatescu},
  title = 	 {Perspectives on Adaptivity and Learning},
  chapter = 	 {Reinforcement Learning: a brief overview},
  publisher = 	 {Springer},
  year = 	 {2002},
  pages = 	 {243 -- 264},
}

%% -*-BibTeX-*-


@InProceedings{wyatt05ijcai,
  author =	 {J. Wyatt},
  title =	 {Planning clarification questions to resolve
                  ambiguous references to objects},
  booktitle =	 {Proceedings of the 4th Workshop on Knowledge and
                  Reasoning in Practical Dialogue Systems, held at
                  IJCAI 05},
  year =	 2005
}

%% -*-BibTeX-*-


@InBook{wyatt05overview,
  author =	 {J. Wyatt},
  editor =	 {L. Bull and T. Kovacs},
  title =	 {Foundations of Learning Classifier Systems},
  chapter =	 {Reinforcement Learning: A Brief Overview},
  publisher =	 {Springer},
  year =	 2005
}

%% -*-BibTeX-*-


@InBook{wyatt05teams,
  author =	 {J. Wyatt, Y. Matsumura and M. Todd},
  editor =	 {Natalie Gold},
  title =	 {Teamwork: Multi-Disciplinary Perspectives},
  chapter =	 {Learning in Robot Teams},
  publisher =	 {Palgrave McMillan},
  year =	 2004,
  pages =	 {236-251}
}

%% -*-BibTeX-*-


@InProceedings{wyatt95aisb,
  author =	 {J. Wyatt},
  title =	 {Issues in putting Reinforcement Learning onto
                  robots},
  booktitle =	 {Mobile Robotics Workshop, 10th Biennal Conference of
                  the AISB},
  year =	 1995,
  address =	 {Sheffield},
  month =	 {April}
}

@InProceedings{wyatt96qlambda,
  author = 	 {Jeremy Wyatt and Gillian Hayes and John Hallam},
  title = 	 {Investigating the Behaviour of Q(lambda)},
  booktitle = {Colloquium on Self-Learning Robots},
  year = 	 {1999},
  address = 	 {London},
  month = 	 {February},
  }

@InProceedings{wyatt97methods,
  author = 	 {Jeremy Wyatt and John Hoar and Gillian Hayes},
  title = 	 {Experimental methods for robot learning},
  booktitle = {Towards Intelligent Mobile Robots - Scientific Methods in Mobile Robotics},
  year = 	 {1999},
  editor = 	 {U. Nehmzow and M. Recce and D. Bisset},
  note = 	 {University of Manchester, Department of Computer Science Tech Report UMCS-97-9-1.},
}

%% -*-BibTeX-*-


@PhdThesis{wyatt97phd,
  author =	 {J. Wyatt},
  title =	 {Exploration and Inference in Learning from
                  Reinforcement},
  school =	 {Department of Artificial Intelligence, University of
                  Edinburgh},
  year =	 1997,
}

%% -*-BibTeX-*-


@Article{wyatt98design,
  author =	 {J. Wyatt, J. Hoar and G. Hayes},
  title =	 {Design, analysis and comparison of robot learners},
  journal =	 {Robotics and Autonomous Systems: Special Issue on
                  quantitative methods in mobile robotics},
  year =	 1998,
  volume =	 24,
  number =	 1,
  pages =	 {17--32}
}

%% -*-BibTeX-*-


@Proceedings{wyattdemiris00ewlr,
  title =	 {Advances in Robot Learning: Proceedings of the 8th
                  European Workshop on Learning Robots},
  year =	 2000,
  editor =	 {J. Wyatt and J. Demiris},
  number =	 1812,
  series =	 {Lecture Notes in AI},
  publisher =	 {Springer-Verlag}
}

@InProceedings{wyatthawes08bica,
  author = {Jeremy Wyatt and Nick Hawes},
  title = {Multiple Workspaces as an Architecture for Cognition},
  year = {2008},
  booktitle = {Proceedings of AAAI 2008 Fall Symposium on Biologically Inspired Cognitive Architectures},
  note = {To appear},
  abstract = {In this paper we describe insights for theories of
                  natural intelligence that arise from recent advances
                  in architectures for robot intelligence. In
                  particular we advocate a sketch theory for the study
                  of both natural and artificial intelligence that
                  consists of a set of constraints on
                  architectures. The sketch includes the use of
                  multiple shared workspaces, parallel asynchronous
                  refinement of shared representations, statistical
                  integration of evidence within and across
                  modalities, massively parallel prediction and
                  content addressable memory to allow binding across
                  workspaces.}, 
}
@InProceedings{yao01traffic,
  author = 	 {X. Yao and M. M. Fischer and G. Brown},
  title = 	 {Neural Network Ensembles and Their Application to Traffic Flow Prediction in Telecommunications Networks},
  booktitle = {Proceedings of the 2001 INNS/IEEE International Joint Conference on Neural Networks (IJCNN'01)},
    year = 	 {2001},
  month = 	 {July},
  publisher = {IEEE Press, Piscataway, NJ, USA},
}

%% -*-BibTeX-*-


@InProceedings{braga04incremental,
  author =	 {A. Braga and  A. Araujo and J. Wyatt},
  title =	 {An Incremental Topological Reinforcement Learning Agent
                  in Non-Structured Environments},
  booktitle =	 {Proceedings of IEEE SMC 2004, International
                  Conference on Systems, Man and Cybernetics},
  pages =	 {5567--5572},
  year =	 2004
}

@InProceedings{brenneretal07ijcai,
  TITLE =       {Mediating Between Qualitative and Quantitative
                  Representations for Task-Orientated Human-Robot
                  Interaction},
  AUTHOR =      {Brenner, M. and Hawes, N. and Kelleher, J. and
                  Wyatt, J.},
  BOOKTITLE =    {Proc.~of the Twentieth International Joint
                  Conference on Artificial Intelligence (IJCAI)},
  ADDRESS =     {Hyderabad, India},
  YEAR =        2007,
  ABSTRACT =     { It is essential for successful human-robot
                  interaction that the robot is able to both
                  qualitatively understand the intended meaning of the
                  human's utterances and to react to them in the
                  continuous real world. In this paper we present a
                  number of novel techniques that collectively allow a
                  robot to interpret and execute spoken commands
                  describing manipulation goals involving qualitative
                  spatial constraints (e.g. ``put the red ball near
                  the blue cube''). The resulting implemented system
                  integrates computer vision, potential field models
                  of spatial relationships, and action planning to
                  mediate between the continuous real world, and
                  discrete, qualitative representations used for
                  symbolic reasoning. }
}       
@InProceedings{brown01negative,
  author = 	 {Gavin Brown and Xin Yao},
  title = 	 {The Effectiveness of Negative Correlation Learning},
   booktitle = {First UK Workshop on Computational Intelligence (UKCI`01)},
   year = 	 {2001},
 address = 	 {Edinburgh, Scotland},
  month = 	 {September},
}

@article{brown04survey,
  author =	 "G. Brown and J. Wyatt and R. Harris and X. Yao",
  title =	 "Diversity Creation Methods: A Survey and
                  Categorisation",
  journal =	 "Journal of Information Fusion",
  volume =	 "6",
  number =	 "1",
  month =	 "March",
  pages =	 "5--20",
  year =	 "2005"
}

@Article{brown04taxonomy,
  author = 	 {Gavin Brown and Jeremy Wyatt and Rachel Harris and Xin Yao},
  title = 	 {A Taxonomy of Neural Network Ensemble Learning Methods},
  journal = 	 {Information Fusion Journal, Special issue on Diversity in Multiple Classifier Systems},
  year = 	 {2004},
  volume = 	 {6},
  number = 	 {1},
  pages = 	 {5--20},
}

%% -*-BibTeX-*-


@InProceedings{brownwyatt03ambiguity,
  author =	 {G. Brown and J. Wyatt},
  title =	 {The Use of the Ambiguity Decomposition in Neural
                  Network Ensemble Learning Methods},
  booktitle =	 {20th {I}nternational {C}onference on {M}achine
                  {L}earning (ICML'03)},
  year =	 2003,
  editor =	 {T. Fawcett and N. Mishra},
  month =	 {August},
  address =	 {Washington DC, USA}
}

%% -*-BibTeX-*-


@inproceedings{brownwyatt03mcs,
  author =	 "G. Brown and J. Wyatt",
  title =	 "Negative Correlation Learning and the Ambiguity
                  Family of Ensemble Methods",
  booktitle =	 "Proc. Int. Workshop on Multiple Classifier Systems
                  (LNCS 2709)",
  publisher =	 "Springer",
  month =	 "June",
  pages =	 "266-275",
  year =	 "2003",
  address =	 "Guildford, Surrey",
  url =
                  "http://link.springer.de/link/service/series/0558/tocs/t2709.htm"
}

%% -*-BibTeX-*-


@inproceedings{brownwyatt05extremes,
  author =	 "G. Brown and J. Wyatt and P. Sun",
  title =	 "Between Two Extremes: Examining Decompositions of
                  the Ensemble Objective Function",
  booktitle =	 "Proc. Int. Workshop on Multiple Classifier Systems
                  (LNCS 3541)",
  publisher =	 "Springer",
  month =	 "June",
  year =	 "2005",
  address =	 "Monterey, California"
}

%% -*-BibTeX-*-


@article{brownwyatt05jmlr,
  title =	 "Managing Diversity in Regression Ensembles",
  author =	 "G. Brown and J. Wyatt and P. Tino",
  journal =	 "Journal of Machine Learning Research",
  volume =	 "6",
  year =	 "2005"
}

%% -*-BibTeX-*-


@InProceedings{brownyao02exploiting,
  author =	 {G. Brown and X. Yao and J. Wyatt and H. Wersing and B. Sendhoff},
  title =	 {Exploiting Ensemble Diversity for Automatic Feature
                  Extraction},
  booktitle =	 {Proc. of the 9th International Conference on Neural
                  Information Processing (ICONIP'02)},
  pages =	 {1786-1790},
  year =	 2002,
  month =	 {November}
}

@InProceedings{funlade03optimistic,
  author = 	 {Funlade Sunmola and Jeremy Wyatt},
  title = 	 {Optimistic Model Selection in Structure Based Reinforcement Learning },
  booktitle = {Sixth European Workshop on Reinforcement Learning (EWRL-6)},
  year = 	 {2003},
  address = 	 {Nancy, France},
  month = 	 {September 4-5},
  }

%% -*-BibTeX-*-


@InProceedings{grossman03semi,
  author =	 {A. Grossmann and M. Wendt and J. Wyatt},
  title =	 {A Semi-supervised Method for Learning the Structure
                  of Robot Environment Interaction},
  booktitle =	 {Proceedings of the 5th International Symposium on
                  Intelligent Data Analysis},
  pages =	 {36--47},
  year =	 2003,
  publisher =	 {Springer-Verlag}
}d

@InProceedings{grossman97continual,
  author = 	 {Axel Großmann and Riccardo Poli},
  title = 	 {Continual robot learning with constructive neural networks},
    booktitle = {Sixth European European Workshop on Learning Robots (EWLR-6)},
    year = 	 {1997},
  address = 	 {Brighton, UK},
  month = 	 {August},
}

@InProceedings{grossman99robust,
  author = 	 {Axel Großmann and Riccardo Poli},
  title = 	 {Robust mobile robot localisation from sparse and noisy proximity readings},
  booktitle = {IJCAI-99 Workshop on Reasoning with Uncertainty in Robot Navigation (RUR-99)},
  year = 	 {1999},
  address = 	 {Stockholm, Sweden},
  month = 	 {August},
  }

%% -*-BibTeX-*-


@PhdThesis{grossmann99phd,
  author =	 {A. Grossmann},
  title =	 {Continual learning for mobile robots},
  school =	 {University of Birmingham},
  year =	 2001,
}

%% -*-BibTeX-*-


@ARTICLE{grossmannpoli00,
        AUTHOR             = {A. Grossmann and R. Poli},
        JOURNAL            = {Robotics and Autonomous Systems},
        PAGES              = {1--18},
        TITLE              = {Robust mobile robot localisation from sparse and noisy proximity readings using Hough transform and probability grids},
        VOLUME             = {37},
        YEAR               = {2001}
}

@ARTICLE{grossmannpoli00robust,
        AUTHOR             = {A. Grossmann and R. Poli},
        JOURNAL            = {Robotics and Autonomous Systems},
        PAGES              = {1--18},
        TITLE              = {Robust mobile robot localisation from sparse and noisy proximity readings using Hough transform and probability grids},
        VOLUME             = {37},
        YEAR               = {2001}
}
@InProceedings{hartley01issues,
  author = 	 {Adrian R. Hartley and Jeremy L. Wyatt},
  title = 	 {Issues in Dynamic Hidden Markov Modelling},
  booktitle = {Proceedings of the Fifth European Workshop on Reinforcement Learning},
  year = 	 {2001},
  address = 	 {Utrecht, The Netherlands},
  month = 	 {October},
}

@InProceedings{hartley01task,
  author = 	 {Adrian R. Hartley and Jeremy L. Wyatt},
  title = 	 { Issues in Hidden Markov Modelling and Task Driven Perception},
  booktitle = {AAAI Spring Symposium: Learning Grounded Representations},
  year = 	 {2001},
}

%% -*-BibTeX-*-


@PHDTHESIS{hartley05,
        AUTHOR             = {A. Hartley},
        SCHOOL             = {University of Birmingham},
        TITLE              = {Utile Distinctions as an Approach to Hidden State Problems},
        YEAR               = {2005}
}

@PHDTHESIS{hartley05phd,
        AUTHOR             = {A. Hartley},
        SCHOOL             = {University of Birmingham},
        TITLE              = {Utile Distinctions as an Approach to Hidden State Problems},
        YEAR               = {2005}
}
@InProceedings{hartley99accuracy,
  author = 	 {Adrian R. Hartley},
  title = 	 {Accuracy-based fitness allows similar performance to humans in static and dynamic classification environments},
    booktitle = {GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference},
  pages = 	 {266--273},
  year = 	 {1999},
  editor = 	 {W. Banzhaf and J. Daida andd A. E. Eiben and M. H. Garzon and V. Honavar and M. Jakiela and R. E. Smith},
  publisher = {Morgan Kaufmann},
}

@InProceedings
{hawes00goalorientated,
    author = "Nick Hawes",
    title = "Real-Time Goal-Orientated Behaviour For Computer Game Agents",
  year = "2000",
  booktitle = "Game-On 2000, 1st International Conference on Intelligent
Games and Simulation",
  pages = "71--75",
}

@InProceedings
{hawes01anytime,
    author = "Nick Hawes",
    title = "Anytime Planning For Agent Behaviour",
    year = "2001",
    booktitle = "Proceedings of the Twelth Workshop of the UK Planning and
Scheduling Special Interest Group",
    pages = "157--166",
}
@InProceedings
{hawes02anytimeagent,
    author = "Nick Hawes",
    title = "An Anytime Planning Agent For Computer Game Worlds",
    year = "2002",
    booktitle = "Workshop on Agents in Computer Games at The 3rd International
Conference on Computers and Games ({CG}'02)",
    pages = "1--14",
}
@inproceedings{hawes04analogy,
abstract = {This paper presents a novel domain independent algorithm for constructing analogies using relationship-based structure-mapping. This algorithm is used as a core component in a system that solves visual analogy IQ test problems.},
author = {Hawes, Nick   and Kelleher, John  },
booktitle = {STAIRS 2004: Proceedings of the Second Starting AI Researchers' Symposium},
keywords = {alignment analogy structure-mapping},
pages = {205--210},
publisher = {IOS Press},
series = {Frontiers in Artificial Intelligence and Applications},
title = {Analogy by Alignment: On Structure Mapping And Similarity},
year = {2004}
}
@inproceedings{hawes04cst9,
	abstract = {Predictive text input using a single-tap entry method is currently the standard for text entry in the mobile domain. One problem facing this approach is which word to present to the user when more than one word matches an input sequence. The standard single-tap approach selects words using corpus occurrence frequencies, ignoring linguistic context. This can lead to the selection of words that are unrelated to the current input. In this paper we present an implementation of a context-aware...},
	author = {Hawes, Nick   and Kelleher, John  },
	booktitle = {STAIRS 2004: Proceedings of the Second Starting AI Researchers' Symposium},
	keywords = {context mobilephones textentry},
	pages = {217--222},
	publisher = {IOS Press},
	title = {Context-Sensitive Word Selection For Single-Tap Text Entry},
	year = {2004}
}

















@PhdThesis{hawes04phd,
  author = 	 {Nick Hawes},
  title = 	 {Anytime Deliberation for Computer Game Agents},
  school = 	 {School of Computer Science, University of Birmingham},
  year = 	 {2004},
}

@TechReport{hawesetal07balt,
  author      = "Nick Hawes and Michael Zillich and Jeremy Wyatt",
  title       = {BALT & CAST: Middleware for Cognitive Robotics},
  institution = {University of Birmingham, School of Computer Science},
  number      = {CSR-07-1},
  month       = {April},
  year        = {2007},
  email       = {N.A.Hawes@cs.bham.ac.uk, M.Zillich@cs.bham.ac.uk, J.L.Wyatt@cs.bham.ac.uk},
  file        = {/2007/CSR-07-1.pdf},
  url         = {ftp://ftp.cs.bham.ac.uk/pub/tech-reports/2007/CSR-07-1.pdf},
  abstract = { In this paper we present a toolkit for implementing
                 architectures for intelligent robotic systems. This
                 toolkit is based on a previously developed
                 architecture schema (a set of architecture design
                 rules). The purpose of both the schema and toolkit is
                 to facilitate research into information-processing
                 architectures for state-of-the-art intelligent
                 robots, whilst providing engineering solutions for
                 the development of such systems. A robotic system
                 implemented using the toolkit is presented to
                 demonstrate its key features.  }, 
}
@TechReport{hawesetal06cosy,
 author      = "Nick Hawes and Jeremy Wyatt and Aaron Sloman",
  title       = {An Architecture Schema for Embodied Cognitive Systems},
  institution = {University of Birmingham, School of Computer Science},
  number      = {CSR-06-12},
  month       = {November},
  year        = {2006},
  email       = {N.A.Hawes@cs.bham.ac.uk, J.L.Wyatt@cs.bham.ac.uk, A.Sloman@cs.bham.ac.uk},
  url         = {ftp://ftp.cs.bham.ac.uk/pub/tech-reports/2006/CSR-06-12.pdf},
}

@InProceedings{hawesetal06gc5,
   author =       {Nick Hawes and Aaron Sloman and Jeremy Wyatt},
   title =        {Requirements \& Designs: Asking Scientific Questions About Architectures},
   booktitle = {Proceedings of the AISB '06 Symposium on GC5: Architecture of Brain and Mind: Integrating high level cognitive processes with brain mechanisms and functions in a working robot},
   address = 	{Bristol},
   year =         {2006},
   month =        {April},
}
@TechReport{hawesetal07balt,
  author      = "Nick Hawes and Michael Zillich and Jeremy Wyatt",
  title       = {BALT \& CAST: Middleware for Cognitive Robotics},
  institution = {University of Birmingham, School of Computer Science},
  number      = {CSR-07-1},
  month       = {April},
  year        = {2007},
  email       = {N.A.Hawes@cs.bham.ac.uk, M.Zillich@cs.bham.ac.uk, J.L.Wyatt@cs.bham.ac.uk},
  file        = {/2007/CSR-07-1.pdf},
  url         = {ftp://ftp.cs.bham.ac.uk/pub/tech-reports/2007/CSR-07-1.pdf},
  abstract = { In this paper we present a toolkit for implementing
                 architectures for intelligent robotic systems. This
                 toolkit is based on a previously developed
                 architecture schema (a set of architecture design
                 rules). The purpose of both the schema and toolkit is
                 to facilitate research into information-processing
                 architectures for state-of-the-art intelligent
                 robots, whilst providing engineering solutions for
                 the development of such systems. A robotic system
                 implemented using the toolkit is presented to
                 demonstrate its key features.  }, 
}
@InProceedings{hawesetal07cast,
  author      = {Nick Hawes and Michael Zillich and Jeremy Wyatt},
  title       = {{BALT} \& {CAST}: Middleware for Cognitive Robotics},
  month       = {August},
  year        = {2007},
  booktitle = {Proceedings of IEEE RO-MAN 2007},
  location = {Jeju, Korea},
  pages = {998 -- 1003},
  abstract = {In this paper we present a toolkit for implementing
              architectures for intelligent robotic systems. This
              toolkit is based on an architecture schema (a set of
              architecture design rules). The purpose of both the
              schema and toolkit is to facilitate research into
              information-processing architectures for
              state-of-the-art intelligent robots, whilst providing
              engineering solutions for the development of such
              systems. A robotic system implemented using the toolkit
              is presented to demonstrate its key features.},
  url = {http://www.cs.bham.ac.uk/~nah/bibtex/papers/hawesetal07cast.pdf},
}
@InProceedings{hawesetal07eai,
  author = {Nick Hawes and Aaron Sloman and Jeremy Wyatt},
  title = {Towards an Empirical Exploration of Design Space},
  year = 2007,
  booktitle = {Proc.\ of the 2007 AAAI Workshop on Evaluating Architectures for Intelligence},
  address = {Vancouver, Canada},
  url = {http://www.cs.bham.ac.uk/~nah/bibtex/papers/hawesetal07eai.pdf},
  note = {To appear},
  abstract = {In this paper we propose an empirical method for the
              comparison of architectures designed to produce similar
              behaviour from an intelligent system. The approach is
              based on the exploration of \emph{design space} using
              similar designs that all satisfy the same requirements
              in \emph{niche space}. An example of a possible
              application of this method is given using a robotic
              system that has been implemented using a software
              toolkit that has been designed to support architectural
              experimentation.}, 
}
@inproceedings{hawesetal07playmate,
  author = {Nick Hawes and Aaron Sloman and Jeremy Wyatt and Michael Zillich and Henrik Jacobsson and Geert-Jan Kruijff and Michael Brenner and Gregor Berginc and Danijel Sko\v{c}aj},
title     = {Towards an Integrated Robot with Multiple Cognitive Functions},
  booktitle = {AAAI},
  year      = {2007},
  pages     = {1548-1553},
 publisher = {AAAI Press},
}
@InProceedings{hawesetal08ai,
  AUTHOR = {Nick Hawes and Jeremy Wyatt and Aaron Sloman},
  TITLE = {Exploring Design Space For An Integrated Intelligent System},
  BOOKTITLE = {Research and Development in Intelligent Systems XXV: Proceedings
  of AI-2008, The Twenty-eighth SGAI International Conference on Innovative
  Techniques and Applications of Artificial Intelligence},
  YEAR = {2008},
  EDITOR = {Max Bramer and Frans Coenen and Miltos Petridis},
  ADDRESS = {Cambridge, England},
  MONTH = {December},
  PUBLISHER = {Springer},
  ABSTRACT = {Understanding the trade-offs available in the design space of intelligent
  systems is a major unaddressed element in the study of Artificial
  Intelligence. In this paper we approach this problem in two ways.
  First, we discuss the development of our integrated robotic system
  in terms of its trajectory through design space. Second, we demonstrate
  the practical implications of architectural design decisions by using
  this system as an experimental platform for comparing behaviourally
  similar yet architecturally different systems. The results of this
  show that our system occupies a "sweet spot" in design space in terms
  of the cost of moving information between processing components.}}
@Article{hawesetal08kbs,
  author = {Nick Hawes and Jeremy Wyatt and Aaron Sloman},
  title = {Exploring Design Space For An Integrated Intelligent System},
  year = {To Appear},
  journal = {Knowledge Based Systems},
  note = {To appear},
  abstract = {Understanding the trade-offs available in the design
                  space of intelligent systems is a major unaddressed
                  element in the study of Artificial Intelligence. In
                  this paper we approach this problem in two
                  ways. First, we discuss the development of our
                  integrated robotic system in terms of its trajectory
                  through design space. Second, we demonstrate the
                  practical implications of architectural design
                  decisions by using this system as an experimental
                  platform for comparing behaviourally similar yet
                  architecturally different systems. The results of
                  this show that our system occupies a "sweet spot" in
                  design space in terms of the cost of moving
                  information between processing components.}, 
}
@inproceedings{hawesetal09hri,
 author = {Hawes, Nick and Brenner, Michael and Sj\"{o}\"{o}, Kristoffer},
 title = {Planning as an architectural control mechanism},
 booktitle = {HRI '09: Proceedings of the 4th ACM/IEEE international conference on Human robot interaction},
 year = {2009},
 isbn = {978-1-60558-404-1},
 pages = {229--230},
 location = {La Jolla, California, USA},
 doi = {http://doi.acm.org/10.1145/1514095.1514150},
 publisher = {ACM},
 address = {New York, NY, USA},
}

@inproceedings{hawesetal09hycas,
  author = {Nick Hawes and Hendrik Zender and Kristoffer Sj\"{o}\"{o} and Michael Brenner and Geert-Jan M. Kruijff and Patric Jensfelt},
  title = {Planning and Acting with an Integrated Sense of Space},
  booktitle = {Proceedings of the 1st International Workshop on Hybrid Control of Autonomous Systems -- Integrating Learning, Deliberation and Reactive Control (HYCAS)},
  pages = {25--32},
  address = {Pasadena, CA, USA},
  month = {July},
  year = {2009}}
@InProceedings{,
  author = 	 {Nick Hawes and Jeremy Wyatt},
  title = 	 {Towards Context-Sensitive Visual Attention},
  booktitle = {Proceedings of the Second International Cognitive Vision Workshop (ICVW06)},
  year = 	 {2006},
  address = 	 {Graz, Austria},
  month = 	 {May},
  url = {http://www.cs.bham.ac.uk/research/projects/cosy/bib-db/papers/haweswyatt06.pdf},
  abstract = {In this paper we present a discussion of information
  processing context and how we believe a visual attention system
  should be influenced by contextual information. We support this
  argument with a proof-of-concept design and implementation of a
  context-sensitive extension to the Itti & Koch model of visual
  attention as part of an architecture for a cognitive system. Our
  model demonstrates improved performance in terms of both fixations
  and processing time on visual search tasks compared to the
  non-extended model.},
}


@inproceedings{haweswyatt08b,
	Author = {Nick Hawes and Jeremy Wyatt},
	Booktitle = {IROS Workshop on current software frameworks in cognitive robotics integrating different computational paradigms},
	Date-Added = {2009-01-30 09:33:53 +0000},
	Date-Modified = {2009-01-30 09:40:06 +0000},
	Editor = {Martin H{\"u}lse and Manfred Hild},
	Keywords = {cosy, irlab, cast},
	Month = {September},
	Title = {Developing Intelligent Robots with CAST},
	Year = {2008},
	URL = {http://www.cs.bham.ac.uk/~nah/bibtex/papers/haweswyatt08b.pdf}}

@InProceedings{haweswyatt08benchmarking,
  author      = {Nick Hawes and Jeremy Wyatt},
  title       = {Benchmarking The Influence of Information-Processing
                  Architectures on Intelligent Systems},
  month       = {June},
  year        = {2008},
  booktitle = {Proceedings of the Robotics: Science \& Systems 2008 Workshop:  Experimental Methodology and Benchmarking in Robotics Research},
  location = {Zurich, Switzerland},
  url = {http://www.cs.bham.ac.uk/~nah/bibtex/papers/haweswyatt08benchmarking.pdf},
}
%% -*-BibTeX-*-


@InProceedings{hoar97evaluation,
  author =	 {J. Hoar and J. Wyatt and G. Hayes},
  title =	 {Multiple Evaluation Techniques for Robot Learning},
  booktitle =	 {10th International Florida AI research symposium
                  (FLAIRS)},
  year =	 1997
}

@Article{inverso04think,
  author = 	 {Sam A. Inverso and Nick Hawes and John Kelleher and Rebecca Allen  and Ken Haase},
  title = 	 {Think And Spell: Context-Sensitive Predictive Text for an Ambiguous Keyboard Brain-Computer Interface Speller},
  journal = 	 {Biomedizinische Technik},
  year = 	 {2004},
  volume = 	 {49},
  number = 	 {1},
  pages = 	 {53-54},
  month = 	 {September},
}

@InProceedings{jacobssonetal07binding,
  title =	 {Crossmodal Content Binding in Information-Processing
                  Architectures},
  author =	   {Henrik Jacobsson and Nick Hawes and Geert-Jan
                  Kruijff and Jeremy Wyatt},
  booktitle =	   {Symposium on Language and Robots},
  address =  {Aveiro, Portugal},
  year =   {2007},
}
@InProceedings{jacobssonetal07learning,
  title =	 {Interactive Learning and Cross-Modal Binding - A
                  Combined Approach},
  author =	   {Henrik Jacobsson and Nick Hawes and Danijel
                  Sko\v{c}aj and Geert-Jan Kruijff},
  booktitle =	   {Symposium on Language and Robots},
  address =  {Aveiro, Portugal},
  year =   {2007}
}
@InProceedings{jacobssonetal08hri,
 author = {Henrik Jacobsson and Nick Hawes and Geert-Jan Kruijff and Jeremy Wyatt},
 title = {Crossmodal content binding in information-processing architectures},
 booktitle = {HRI '08: Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction},
 year = {2008},
 isbn = {978-1-60558-017-3},
 pages = {81--88},
 location = {Amsterdam, The Netherlands},
 doi = {http://doi.acm.org/10.1145/1349822.1349834},
 publisher = {ACM},
 address = {New York, NY, USA},
 }
@InProceedings{kruijffetal06pit,
        author  = {Geert-Jan M. Kruijff and John D. Kelleher and Nick Hawes},
        title           = {Information Fusion For Visual Reference Resolution In Dynamic Situated Dialogue},
        booktitle = {Perception and Interactive Technologies: International Tutorial and Research Workshop, PIT 2006},
        editor  = {Elisabeth Andre and Laila Dybkjaer and Wolfgang Minker and Heiko Neumann and Michael Weber},
        publisher = {Springer Berlin / Heidelberg},
        year    = {2006},
        month = {June},
        ee = {http://dx.doi.org/10.1007/11768029_12},
        series    = {Lecture Notes in Computer Science},
volume = {4021},
address = {Kloster Irsee, Germany},
pages = {117 -- 128}
}
@InProceedings{kruijffetal07incremental,
  title =	 {Incremental, multi-level processing for comprehending situated dialogue in human-robot interaction},
  author =	   {Geert-Jan M. Kruijff and Pierre Lison and Trevor Benjamin and Henrik Jacobsson and Nick Hawes},
  booktitle =	   {Symposium on Language and Robots},
  address =  {Aveiro, Portugal},
  year =   {2007},
}
@InProceedings{kruijffetal08roman,
  author      = {Geert-Jan Kruijff and Michael Brenner and Nick Hawes},
  title       = {Continual Planning for Cross-Modal Situated Clarification in Human-Robot Interaction},
  month       = {August},
  year        = {2008},
  booktitle = {Proceedings of IEEE RO-MAN 2008},
  location = {Munich, Germany},
  abstract = {Robots do not fully understand the world they are
                  situated in. This includes what humans talk to them
                  about. A fundamental problem is thus how a robot can
                  clarify such a lack of understanding. This paper
                  addresses the issue of how a robot can create a plan
                  for resolving a need for clarification. It
                  characterises situated clarification as an
                  information need which may arise in any
                  sensory-motoric modality required to interpret the
                  situated context of the robot, or any deliberative
                  modality referring to that context. It then focuses
                  on how, once a clarification need has been
                  identified, the robot can create a plan in which one
                  or more modalities are used to resolve
                  it. Modalities are involved on the basis of the
                  types of information they can provide. These
                  information types are identified in the ontologies
                  the modalities use to interconnect their content
                  with content of other modalities (via information
                  fusion). We take a continual approach to planning
                  and execution monitoring. This provides the ability
                  to re-plan depending on modality availability and
                  success in resolving (part of) a clarification
                  need. We illustrate the implementation on several
                  examples.},
}
@InProceedings{matsumura03robust,
  author = 	 {Y. Matsumura and X. Yao and J. L. Wyatt and K. Ohkura and K. Ueda},
  title = 	 {Robust Evolution Strategies Applied to Continuous-Time Recurrent Neural Networks},
    booktitle = {Proceedings of the 2nd International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS 2003)},
    year = 	 {2003},
  address = 	 {Singapore},
  
}

%% -*-BibTeX-*-


@InProceedings{matsumuraetal03,
  author =	 {Y. Matsumura and X. Yao and  J.L. Wyatt and K.Ohkura and K. Ueda},
  title =	 {Robust Evolution Strategies Use Adaptive Search Strategies to Design Continuous-Time Recurrent Neural Networks},
  booktitle =	 {Proceedings of the 2nd International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS 2003)},
  pages =	 {PS07-3-03},
  year =	 2003
}

%% -*-BibTeX-*-


@InProceedings{matsumuraetal04a,
  author =	 {Y. Matsumura and N. Fujimoto and  X. Yao and  J.L. Wyatt and K.Hagihara},
  title =	 {Near-Optimal Dynamic Grid Task Scheduling of Evolution Strategies},
  booktitle =	 {4th International Conference on Advanced Mechatronics (ICAM 04)},
  pages =	 {175--180},
  year =	 2004
}

%% -*-BibTeX-*-


@InProceedings{matsumuraetal04b,
  author =	 {Y. Matsumura and N. Fujimoto and  X. Yao and  J.L. Wyatt and K.Hagihara},
  title =	 {Evolution Strategies on Grid Computing},
  booktitle =	 {China-Japan Joint Conference on Mechatronics (CJCM), CJ-H2},
  pages =	 {105--106},
  year =	 2004
}

%% -*-BibTeX-*-


@InProceedings{matsumuraetal06,
  author =	 {Y. Matsumura and Y. Murayama and  N.Fujimoto and K. Hagihara and J. Wyatt and X. Yao},
  title =	 {Evolutionary Strategies in a Local Desktop Grid Environment Using Task Scheduling Algorithms},
  booktitle =	 {},
  pages =	 {},
  year =	 2006
}

@InProceedings{montes03cartesian,
  author = 	 {Hector Montes and Jeremy Wyatt},
  title = 	 {Cartesian Genetic Programming for Image Processing Tasks},
  booktitle = {Proceedings of IASTED International Conference on Neural Networks and Computational Intelligence (NCI 2003)},
  year = 	 {2003},
  address = 	 {Cancun, Mexico},
}

@InProceedings{reynolds00partitioning,
  author = 	 {Stuart I. Reynolds},
  title = 	 {Decision Boundary Partitioning: Variable Resolution Model-Free Reinforcement Learning},
  booktitle = {Proceedings of the 17th International Conference on Machine Learning (ICML-2000)},
  pages = 	 {783--790},
  year = 	 {2000},
  publisher = {Morgan Kaufmann},
}

@InProceedings{reynolds01adaptive,
  author = 	 {Stuart I. Reynolds},
  title = 	 {Adaptive Representation Methods for Reinforcement Learning},
  booktitle = {Advances in Artificial Intelligence, (14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence (AI-2001)},
  pages = 	 {345--348},
  year = 	 {2001},
  number = 	 {2056},
  series = 	 {Lecture Notes in Artificial Intelligence},
  address = 	 {Ottawa, Canada},
  month = 	 {June},
  publisher = {Springer-Verlag},
}

@InProceedings{reynolds01curse,
  author = 	 {Stuart I. Reynolds},
  title = 	 {The Curse of Optimism},
  booktitle = {Proceedings of the Fifth European Workshop on Reinforcement Learning},
  year = 	 {2001},
  address = 	 {Utrecht, The Netherlands},
  month = 	 {October},
}

@InProceedings{reynolds01forwardlambda,
  author = 	 {Stuart I. Reynolds},
  title = 	 {Experience Stack Reinforcement Learning: An Online Forward lambda-Return Method},
  booktitle = {Proceedings of the Fifth European Workshop on Reinforcement Learning},
  year = 	 {2001},
  address = 	 {Utrecht, The Netherlands},
  month = 	 {October},
}

@InProceedings{reynolds01qvalues,
  author = 	 {Stuart I. Reynolds},
  title = 	 {Optimistic Initial Q-values and the max Operator},
   booktitle = {First UK Workshop on Computational Intelligence (UKCI`01)},
   year = 	 {2001},
 address = 	 {Edinburgh, Scotland},
  month = 	 {September},
}

@TechReport{reynolds02offpolicy,
  author = 	 {Stuart I. Reynolds},
  title = 	 {Experience Stack Reinforcment Learning for Off-Policy Control},
  institution =  {School of Computer Science, The University of Birmingham},
  year = 	 {2002},
  number = 	 {CSRP-02-01},
  address = 	 {Birmingham, UK},
  month = 	 {January},
}

@TechReport{reynolds02qlambda,
  author = 	 {Stuart I. Reynolds and Marco A. Wiering},
  title = 	 {Fast Q(lambda) Revisited},
  institution =  {School of Computer Science, The University of Birmingham},
  year = 	 {2002},
  number = 	 {CSRP-02-02},
  address = 	 {Birmingham, UK},
  month = 	 {May},
}

@InProceedings{reynolds02stability,
  author = 	 {Stuart I. Reynolds},
  title = 	 {The Stability of General Discounted Reinforcement Learning with Linear Function Approximation},
  booktitle = {UK Workshop on Computational Intelligence (UKCI-02)},
  year = 	 {2002},
  address = 	 {Birmingham, UK},
  month = 	 {September},
}

@InProceedings{reynolds99issues,
  author = 	 {Stuart I. Reynolds},
  title = 	 {Issues in Adaptive Representation Reinforcement Learning},
  booktitle = {4th European Workshop on Reinforcement Learning (EWRL-4)},
  year = 	 {1999},
  address = 	 {Lugano, Switzerland},
  month = 	 {October},
 }

%% -*-BibTeX-*-


@InProceedings{ritthipravatetal04,
  author =	 {Panrasee Ritthipravat and Thavida Maneewarn and Djitt Laowattana and Jeremy Wyatt},
  title =	 {A Modified Approach to Fuzzy Q Learning for Mobile Robots},
  booktitle =	 {Proceedings of IEEE SMC 2004, International Conference on Systems, Man and Cybernetics},
  pages =	 {2350--2356},
  year =	 2004
}

@inproceedings{skocajetal07,
author = "D. Sko\v{c}aj and G. Berginc and B. Ridge and A. \v{S}timec 
and M. Jogan and O. Vanek and A. Leonardis and M. Hutter and N. Hawes",
title = "A System for Continuous Learning of Visual Concepts",
booktitle = "International Conference on Computer Vision Systems ICVS 2007",
address= "Bielefeld, Germany",
year = "2007",
}
@InProceedings{slomanetal06cogrob,
  author = 	 {Aaron Sloman and Jeremy Wyatt and Nick Hawes and Jackie Chappell and Geert-Jan M. Kruijff},
  title = 	 {Long Term Requirements for Cognitive Robotics},
  booktitle = {Proceedings CogRob2006,  The Fifth International Cognitive Robotics Workshop. The AAAI-06  Workshop on Cognitive Robotics},
  year = 	 {2006},
  address = 	 {Boston, Massachusetts, USA},
  month = 	 {July},
  url = {},
  abstract = {This paper discusses some of the long term objectives of cognitive robotics and some of the requirements for meeting those objectives that are still a very long way off. These include requirements for visual perception, for architectures, for kinds of learning, and for innate competences needed to drive learning and development in a variety of different environments. The work arises mainly out of research on requirements for forms of representation and architectures within the PlayMate scenario, which is a scenario concerned with a robot that perceives, interacts with and talks about 3-D objects on a tabletop, one of the scenarios in the EC-funded CoSy Robotics project.},
}

@TechReport{sridharanetal07,
  author      = {Mohan Sridharan and Nick Hawes and Jeremy Wyatt and Richard Dearden and Aaron Sloman},
  title       = {Planning Information Processing and Sensing Actions},
  institution = {University of Birmingham, School of Computer Science},
  number      = {COSY-TR-0706},
  month       = {November},
  year        = {2007},
abstract = { The goal of the CoSy project is to create cognitive
robots to serve as a testbed of theories on how humans work, and to
identify problems and techniques relevant to producing general-purpose
human-like domestic robots. Given the constraints on the resources
available at the robot's disposal and the complexity of the tasks that
the robot has to execute during cognitive interactions with other
agents or humans, it is essential that the robot perform just those
tasks that are necessary for it to achieve its goal. In this paper we
describe our attempts at creating such a system that enables a mobile
robot to plan its information processing and sensing actions. We build
on an existing planning framework, which is based on Continual
Planning. Continual planning combines planning, plan execution and
plan monitoring. Unlike classical planning approaches, here it is not
necessary to model all contingencies in advance -- the agent acts as
soon as it has a feasible plan, in an attempt to gather more
information that would help resolve the uncertainty on the rest of the
plan. We describe how the system addresses challenges such as state
representation, conflict resolution and uncertainty. A few
experimental results are provided to highlight both the advantages and
disadvantages of the current approach, and to motivate directions of
further research. All algorithms are implemented and tested in the
playmate scenario.}  
}


@inproceedings{sridharanetal08ehippo,
	Abstract = {One major challenge to the widespread deployment of mobile robots is the ability to autonomously tailor the sensory processing to the task on hand. In our prior work \cite{mohan:icaps08}, we proposed an approach for such general-purpose processing of visual input in an application domain where a robot and a human jointly converse about and manipulate objects on a tabletop by processing the regions of interest (ROIs) in input images. We posed the visual processing management problem as a partially observable Markov decision problem (POMDP), and introduced a hierarchical decomposition to make it tractable to plan with POMDPs. In this paper we analyze and eliminate some of the limitations of the existing approach. First, in addition to tackling visual actions that analyze the state of the world represented by the image, we show how to incorporate actions that can change the state. Secondly, we show how policy caching can be used to speed the planning performance and analyse the tradeoff between planning speed and plan quality.},
	Annote = {Extensions to the ICAPS-08 paper...},
	Author = {M. Sridharan and R. Dearden and J. Wyatt },
	Bib2Html_Funding = {CoSy, CogX, Leverhulme},
	Bib2Html_Pubtype = {Refereed Workshop},
	Bib2Html_Rescat = {Vision, Planning, Robotics},
	Bibauthor = {smohan},
	Booktitle = {The 27th {PlanSIG} Workshop},
	Date-Added = {2009-01-04 19:57:38 +0000},
	Date-Modified = {2009-01-04 21:03:52 +0000},
	Keywords = {cosy; planning; vision},
	Month = {December 11-12},
	Title = {{E-HiPPo}: {E}xtensions to {H}ierarchical {POMDP}-based {V}isual {P}lanning on a {R}obot},
	Year = {2008}}

@inproceedings{sridharanetal08hippo,
	Abstract = {Flexible general purpose robots need to tailor their visual processing to their task, on the fly. We propose a new approach to this within a planning framework, where the goal is to plan a sequence of visual operators to apply to the regions of interest (ROIs) in a scene. We pose the visual processing problem as a Partially Observable Markov Decision Process (POMDP). This requires probabilistic models of operator effects to quantitatively capture the unreliability of the processing actions, and thus reason precisely about trade-offs between plan execution time and plan reliability. Since planning in practical sized POMDPs is intractable we show how to ameliorate this intractability somewhat for our domain by defining a hierarchical POMDP. We compare the hierarchical POMDP approach with a Continual Planning (CP) approach. On a real robot visual domain, we show empirically that all the planning methods outperform naive application of all visual operators. The key result is that the POMDP methods produce more robust plans than either naive visual processing or the CP approach. In summary, we believe that visual processing problems represent a challenging and worthwhile domain for planning techniques, and that our hierarchical POMDP based approach to them opens up a promising new line of research.},
	Annote = {Well, my first ICAPS paper on POMDP-based planning...},
	Author = {M. Sridharan and J. Wyatt and R. Dearden},
	Bib2Html_Funding = {CoSy, CogX, Leverhulme},
	Bib2Html_Pubtype = {Refereed Conference},
	Bib2Html_Rescat = {Vision, Planning, Robotics},
	Bibauthor = {smohan},
	Booktitle = {International Conference on Automated Planning and Scheduling (ICAPS)},
	Date-Added = {2009-01-04 19:57:34 +0000},
	Date-Modified = {2009-01-04 21:03:52 +0000},
	Keywords = {cosy; planning; vision},
	Month = {September 14-18},
	Title = {{HiPPo}: {H}ierarchical {POMDP}s for {P}lanning {I}nformation {P}rocessing and {S}ensing {A}ctions on a {R}obot},
	Year = {2008}}
%% -*-BibTeX-*-


@InProceedings{sunmola03committees,
  author =	 {F. Sunmola and J. Wyatt},
  title =	 {Developing Committees of Explorers for Reinforcement
                  Learning Agents},
  booktitle =	 {3rd Symposium on Adaptive Agents and Multi-Agent
                  Systems},
  year =	 2003
}

%% -*-BibTeX-*-


@InProceedings{sunmolawyatt04,
  author =	 {F. Sunmola and J. Wyatt},
  title =	 {Optimistic Model Selection in Structure-based Reinforcement Learning},
  booktitle =	 { Proceedings of the Sixth European Workshop on Reinforcement Learning EWRL-6},
  editor =       {Alain Dutech and Olivier Buffet},
  pages  =       {31--32},
  year =	 2003
}

%% -*-BibTeX-*-


@InProceedings{sunmolawyatt05,
  author =	 {F. Sunmola and J. Wyatt},
  title =	 {Reinforcement Learning using Optimistic Process
                  Filtered Models},
  booktitle =	 {Proceedings of Benelearn'05},
  year =	 2005
}

%% -*-BibTeX-*-


@InProceedings{sunmolawyatt06,
  author =	 {F. Sunmola and J. Wyatt},
  title =	 {Bayesian Inference in Constrained Parameter Markov Decision Processes with Uncertain Transition Probabilities},
  booktitle =	 {Proceedings of the ECAI 2006 Workshop on Planning, Learning and Monitoring with Uncertainty and Dynamic Worlds},
  year =	 2006
}

@inproceedings {vreckoetal09cvww,
	       booktitle = {Proceedings of the Fourteenth Computer Vision Winter Workshop (CVWW)},
	       abstract = {We present a general method for integrating visual components into a multi-modal cognitive system. The integration is very generic and can work with an arbitrary set of other modalities. We illustrate our integration approach with a specific instantiation of the architecture schema that focuses on integration of vision and language: a cognitive system able to collaborate with a human, learn and display some understanding of its surroundings. As examples of cross-modal interaction we describe mechanisms for clarification and visual learning.},
	       year = {2009},
	       author = {Vre\v{c}ko, A. and Sko\v{c}aj, D. and Hawes, N. and Leonardis, A},
	       title = {Integration of Computer Vision Components into a Multi-modal Cognitive System},
}
%% -*-BibTeX-*-


@InProceedings{wyatt00optimistic,
  author =	 {J. Wyatt},
  title =	 {Optimistic Model Selection for Exploration Control},
  booktitle =	 {Learning'00},
  year =	 2000,
  editor =	 {C.Bousono-Calzon et al.}
ggv iee}

%% -*-BibTeX-*-


@InProceedings{wyatt01icml,
  author =	 {J. Wyatt},
  title =	 {Exploration Control in Reinforcement Learning Using
                  Optimistic Model Selection},
  booktitle =	 { Proceedings of the Eighteenth International
                  Conference on Machine Learning},
  year =	 2001,
  editor =	 {A. Danyluk and C. Brodley}
}

%% -*-BibTeX-*-


@InBook{wyatt01overview,
  author =	 {J. Wyatt},
  editor =	 {I.O.Statmescu},
  title =	 {Perspectives on Adaptivity and Learning},
  chapter =	 {Reinforcement Learning: A Brief Overview},
  publisher =	 {Springer},
  year =	 2001
}

@InBook{wyatt02overview,
  author = 	 {Jeremy Wyatt},
  editor = 	 {I.O. Stamatescu},
  title = 	 {Perspectives on Adaptivity and Learning},
  chapter = 	 {Reinforcement Learning: a brief overview},
  publisher = 	 {Springer},
  year = 	 {2002},
  pages = 	 {243 -- 264},
}

%% -*-BibTeX-*-


@InProceedings{wyatt05ijcai,
  author =	 {J. Wyatt},
  title =	 {Planning clarification questions to resolve
                  ambiguous references to objects},
  booktitle =	 {Proceedings of the 4th Workshop on Knowledge and
                  Reasoning in Practical Dialogue Systems, held at
                  IJCAI 05},
  year =	 2005
}

%% -*-BibTeX-*-


@InBook{wyatt05overview,
  author =	 {J. Wyatt},
  editor =	 {L. Bull and T. Kovacs},
  title =	 {Foundations of Learning Classifier Systems},
  chapter =	 {Reinforcement Learning: A Brief Overview},
  publisher =	 {Springer},
  year =	 2005
}

%% -*-BibTeX-*-


@InBook{wyatt05teams,
  author =	 {J. Wyatt, Y. Matsumura and M. Todd},
  editor =	 {Natalie Gold},
  title =	 {Teamwork: Multi-Disciplinary Perspectives},
  chapter =	 {Learning in Robot Teams},
  publisher =	 {Palgrave McMillan},
  year =	 2004,
  pages =	 {236-251}
}

%% -*-BibTeX-*-


@InProceedings{wyatt95aisb,
  author =	 {J. Wyatt},
  title =	 {Issues in putting Reinforcement Learning onto
                  robots},
  booktitle =	 {Mobile Robotics Workshop, 10th Biennal Conference of
                  the AISB},
  year =	 1995,
  address =	 {Sheffield},
  month =	 {April}
}

@InProceedings{wyatt96qlambda,
  author = 	 {Jeremy Wyatt and Gillian Hayes and John Hallam},
  title = 	 {Investigating the Behaviour of Q(lambda)},
  booktitle = {Colloquium on Self-Learning Robots},
  year = 	 {1999},
  address = 	 {London},
  month = 	 {February},
  }

@InProceedings{wyatt97methods,
  author = 	 {Jeremy Wyatt and John Hoar and Gillian Hayes},
  title = 	 {Experimental methods for robot learning},
  booktitle = {Towards Intelligent Mobile Robots - Scientific Methods in Mobile Robotics},
  year = 	 {1999},
  editor = 	 {U. Nehmzow and M. Recce and D. Bisset},
  note = 	 {University of Manchester, Department of Computer Science Tech Report UMCS-97-9-1.},
}

%% -*-BibTeX-*-


@PhdThesis{wyatt97phd,
  author =	 {J. Wyatt},
  title =	 {Exploration and Inference in Learning from
                  Reinforcement},
  school =	 {Department of Artificial Intelligence, University of
                  Edinburgh},
  year =	 1997,
}

%% -*-BibTeX-*-


@Article{wyatt98design,
  author =	 {J. Wyatt, J. Hoar and G. Hayes},
  title =	 {Design, analysis and comparison of robot learners},
  journal =	 {Robotics and Autonomous Systems: Special Issue on
                  quantitative methods in mobile robotics},
  year =	 1998,
  volume =	 24,
  number =	 1,
  pages =	 {17--32}
}

%% -*-BibTeX-*-


@Proceedings{wyattdemiris00ewlr,
  title =	 {Advances in Robot Learning: Proceedings of the 8th
                  European Workshop on Learning Robots},
  year =	 2000,
  editor =	 {J. Wyatt and J. Demiris},
  number =	 1812,
  series =	 {Lecture Notes in AI},
  publisher =	 {Springer-Verlag}
}

@inproceedings{wyatthawes08bica,
        Author = {Jeremy Wyatt and Nick Hawes},
        Booktitle = {Proceedings of AAAI 2008 Fall Symposium on Biologically Inspired Cognitive Architectures},
        Editor = {Alexei V. Samsonovich},
        Pages = {201 -- 206},
        Publisher = {The AAAI Press},
        Title = {Multiple Workspaces as an Architecture for Cognition},
        Year = {2008},
  abstract = {In this paper we describe insights for theories of
                  natural intelligence that arise from recent advances
                  in architectures for robot intelligence. In
                  particular we advocate a sketch theory for the study
                  of both natural and artificial intelligence that
                  consists of a set of constraints on
                  architectures. The sketch includes the use of
                  multiple shared workspaces, parallel asynchronous
                  refinement of shared representations, statistical
                  integration of evidence within and across
                  modalities, massively parallel prediction and
                  content addressable memory to allow binding across
                  workspaces.}
}
@InProceedings{yao01traffic,
  author = 	 {X. Yao and M. M. Fischer and G. Brown},
  title = 	 {Neural Network Ensembles and Their Application to Traffic Flow Prediction in Telecommunications Networks},
  booktitle = {Proceedings of the 2001 INNS/IEEE International Joint Conference on Neural Networks (IJCNN'01)},
    year = 	 {2001},
  month = 	 {July},
  publisher = {IEEE Press, Piscataway, NJ, USA},
}

%% -*-BibTeX-*-


@InProceedings{braga04incremental,
  author =	 {A. Braga and  A. Araujo and J. Wyatt},
  title =	 {An Incremental Topological Reinforcement Learning Agent
                  in Non-Structured Environments},
  booktitle =	 {Proceedings of IEEE SMC 2004, International
                  Conference on Systems, Man and Cybernetics},
  pages =	 {5567--5572},
  year =	 2004
}

@InProceedings{brenneretal07ijcai,
  TITLE =       {Mediating Between Qualitative and Quantitative
                  Representations for Task-Orientated Human-Robot
                  Interaction},
  AUTHOR =      {Brenner, M. and Hawes, N. and Kelleher, J. and
                  Wyatt, J.},
  BOOKTITLE =    {Proc.~of the Twentieth International Joint
                  Conference on Artificial Intelligence (IJCAI)},
  ADDRESS =     {Hyderabad, India},
  YEAR =        2007,
  ABSTRACT =     { It is essential for successful human-robot
                  interaction that the robot is able to both
                  qualitatively understand the intended meaning of the
                  human's utterances and to react to them in the
                  continuous real world. In this paper we present a
                  number of novel techniques that collectively allow a
                  robot to interpret and execute spoken commands
                  describing manipulation goals involving qualitative
                  spatial constraints (e.g. ``put the red ball near
                  the blue cube''). The resulting implemented system
                  integrates computer vision, potential field models
                  of spatial relationships, and action planning to
                  mediate between the continuous real world, and
                  discrete, qualitative representations used for
                  symbolic reasoning. }
}       
@InProceedings{brown01negative,
  author = 	 {Gavin Brown and Xin Yao},
  title = 	 {The Effectiveness of Negative Correlation Learning},
   booktitle = {First UK Workshop on Computational Intelligence (UKCI`01)},
   year = 	 {2001},
 address = 	 {Edinburgh, Scotland},
  month = 	 {September},
}

@article{brown04survey,
  author =	 "G. Brown and J. Wyatt and R. Harris and X. Yao",
  title =	 "Diversity Creation Methods: A Survey and
                  Categorisation",
  journal =	 "Journal of Information Fusion",
  volume =	 "6",
  number =	 "1",
  month =	 "March",
  pages =	 "5--20",
  year =	 "2005"
}

@Article{brown04taxonomy,
  author = 	 {Gavin Brown and Jeremy Wyatt and Rachel Harris and Xin Yao},
  title = 	 {A Taxonomy of Neural Network Ensemble Learning Methods},
  journal = 	 {Information Fusion Journal, Special issue on Diversity in Multiple Classifier Systems},
  year = 	 {2004},
  volume = 	 {6},
  number = 	 {1},
  pages = 	 {5--20},
}

%% -*-BibTeX-*-


@InProceedings{brownwyatt03ambiguity,
  author =	 {G. Brown and J. Wyatt},
  title =	 {The Use of the Ambiguity Decomposition in Neural
                  Network Ensemble Learning Methods},
  booktitle =	 {20th {I}nternational {C}onference on {M}achine
                  {L}earning (ICML'03)},
  year =	 2003,
  editor =	 {T. Fawcett and N. Mishra},
  month =	 {August},
  address =	 {Washington DC, USA}
}

%% -*-BibTeX-*-


@inproceedings{brownwyatt03mcs,
  author =	 "G. Brown and J. Wyatt",
  title =	 "Negative Correlation Learning and the Ambiguity
                  Family of Ensemble Methods",
  booktitle =	 "Proc. Int. Workshop on Multiple Classifier Systems
                  (LNCS 2709)",
  publisher =	 "Springer",
  month =	 "June",
  pages =	 "266-275",
  year =	 "2003",
  address =	 "Guildford, Surrey",
  url =
                  "http://link.springer.de/link/service/series/0558/tocs/t2709.htm"
}

%% -*-BibTeX-*-


@inproceedings{brownwyatt05extremes,
  author =	 "G. Brown and J. Wyatt and P. Sun",
  title =	 "Between Two Extremes: Examining Decompositions of
                  the Ensemble Objective Function",
  booktitle =	 "Proc. Int. Workshop on Multiple Classifier Systems
                  (LNCS 3541)",
  publisher =	 "Springer",
  month =	 "June",
  year =	 "2005",
  address =	 "Monterey, California"
}

%% -*-BibTeX-*-


@article{brownwyatt05jmlr,
  title =	 "Managing Diversity in Regression Ensembles",
  author =	 "G. Brown and J. Wyatt and P. Tino",
  journal =	 "Journal of Machine Learning Research",
  volume =	 "6",
  year =	 "2005"
}

%% -*-BibTeX-*-


@InProceedings{brownyao02exploiting,
  author =	 {G. Brown and X. Yao and J. Wyatt and H. Wersing and B. Sendhoff},
  title =	 {Exploiting Ensemble Diversity for Automatic Feature
                  Extraction},
  booktitle =	 {Proc. of the 9th International Conference on Neural
                  Information Processing (ICONIP'02)},
  pages =	 {1786-1790},
  year =	 2002,
  month =	 {November}
}

@InProceedings{funlade03optimistic,
  author = 	 {Funlade Sunmola and Jeremy Wyatt},
  title = 	 {Optimistic Model Selection in Structure Based Reinforcement Learning },
  booktitle = {Sixth European Workshop on Reinforcement Learning (EWRL-6)},
  year = 	 {2003},
  address = 	 {Nancy, France},
  month = 	 {September 4-5},
  }

%% -*-BibTeX-*-


@InProceedings{grossman03semi,
  author =	 {A. Grossmann and M. Wendt and J. Wyatt},
  title =	 {A Semi-supervised Method for Learning the Structure
                  of Robot Environment Interaction},
  booktitle =	 {Proceedings of the 5th International Symposium on
                  Intelligent Data Analysis},
  pages =	 {36--47},
  year =	 2003,
  publisher =	 {Springer-Verlag}
}d

@InProceedings{grossman97continual,
  author = 	 {Axel Großmann and Riccardo Poli},
  title = 	 {Continual robot learning with constructive neural networks},
    booktitle = {Sixth European European Workshop on Learning Robots (EWLR-6)},
    year = 	 {1997},
  address = 	 {Brighton, UK},
  month = 	 {August},
}

@InProceedings{grossman99robust,
  author = 	 {Axel Großmann and Riccardo Poli},
  title = 	 {Robust mobile robot localisation from sparse and noisy proximity readings},
  booktitle = {IJCAI-99 Workshop on Reasoning with Uncertainty in Robot Navigation (RUR-99)},
  year = 	 {1999},
  address = 	 {Stockholm, Sweden},
  month = 	 {August},
  }

%% -*-BibTeX-*-


@PhdThesis{grossmann99phd,
  author =	 {A. Grossmann},
  title =	 {Continual learning for mobile robots},
  school =	 {University of Birmingham},
  year =	 2001,
}

%% -*-BibTeX-*-


@ARTICLE{grossmannpoli00,
        AUTHOR             = {A. Grossmann and R. Poli},
        JOURNAL            = {Robotics and Autonomous Systems},
        PAGES              = {1--18},
        TITLE              = {Robust mobile robot localisation from sparse and noisy proximity readings using Hough transform and probability grids},
        VOLUME             = {37},
        YEAR               = {2001}
}

@ARTICLE{grossmannpoli00robust,
        AUTHOR             = {A. Grossmann and R. Poli},
        JOURNAL            = {Robotics and Autonomous Systems},
        PAGES              = {1--18},
        TITLE              = {Robust mobile robot localisation from sparse and noisy proximity readings using Hough transform and probability grids},
        VOLUME             = {37},
        YEAR               = {2001}
}
@InProceedings{hartley01issues,
  author = 	 {Adrian R. Hartley and Jeremy L. Wyatt},
  title = 	 {Issues in Dynamic Hidden Markov Modelling},
  booktitle = {Proceedings of the Fifth European Workshop on Reinforcement Learning},
  year = 	 {2001},
  address = 	 {Utrecht, The Netherlands},
  month = 	 {October},
}

@InProceedings{hartley01task,
  author = 	 {Adrian R. Hartley and Jeremy L. Wyatt},
  title = 	 { Issues in Hidden Markov Modelling and Task Driven Perception},
  booktitle = {AAAI Spring Symposium: Learning Grounded Representations},
  year = 	 {2001},
}

%% -*-BibTeX-*-


@PHDTHESIS{hartley05,
        AUTHOR             = {A. Hartley},
        SCHOOL             = {University of Birmingham},
        TITLE              = {Utile Distinctions as an Approach to Hidden State Problems},
        YEAR               = {2005}
}

@PHDTHESIS{hartley05phd,
        AUTHOR             = {A. Hartley},
        SCHOOL             = {University of Birmingham},
        TITLE              = {Utile Distinctions as an Approach to Hidden State Problems},
        YEAR               = {2005}
}
@InProceedings{hartley99accuracy,
  author = 	 {Adrian R. Hartley},
  title = 	 {Accuracy-based fitness allows similar performance to humans in static and dynamic classification environments},
    booktitle = {GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference},
  pages = 	 {266--273},
  year = 	 {1999},
  editor = 	 {W. Banzhaf and J. Daida andd A. E. Eiben and M. H. Garzon and V. Honavar and M. Jakiela and R. E. Smith},
  publisher = {Morgan Kaufmann},
}

@InProceedings
{hawes00goalorientated,
    author = "Nick Hawes",
    title = "Real-Time Goal-Orientated Behaviour For Computer Game Agents",
  year = "2000",
  booktitle = "Game-On 2000, 1st International Conference on Intelligent
Games and Simulation",
  pages = "71--75",
}

@InProceedings
{hawes01anytime,
    author = "Nick Hawes",
    title = "Anytime Planning For Agent Behaviour",
    year = "2001",
    booktitle = "Proceedings of the Twelth Workshop of the UK Planning and
Scheduling Special Interest Group",
    pages = "157--166",
}
@InProceedings
{hawes02anytimeagent,
    author = "Nick Hawes",
    title = "An Anytime Planning Agent For Computer Game Worlds",
    year = "2002",
    booktitle = "Workshop on Agents in Computer Games at The 3rd International
Conference on Computers and Games ({CG}'02)",
    pages = "1--14",
}
@inproceedings{hawes04analogy,
abstract = {This paper presents a novel domain independent algorithm for constructing analogies using relationship-based structure-mapping. This algorithm is used as a core component in a system that solves visual analogy IQ test problems.},
author = {Hawes, Nick   and Kelleher, John  },
booktitle = {STAIRS 2004: Proceedings of the Second Starting AI Researchers' Symposium},
keywords = {alignment analogy structure-mapping},
pages = {205--210},
publisher = {IOS Press},
series = {Frontiers in Artificial Intelligence and Applications},
title = {Analogy by Alignment: On Structure Mapping And Similarity},
year = {2004}
}
@inproceedings{hawes04cst9,
	abstract = {Predictive text input using a single-tap entry method is currently the standard for text entry in the mobile domain. One problem facing this approach is which word to present to the user when more than one word matches an input sequence. The standard single-tap approach selects words using corpus occurrence frequencies, ignoring linguistic context. This can lead to the selection of words that are unrelated to the current input. In this paper we present an implementation of a context-aware...},
	author = {Hawes, Nick   and Kelleher, John  },
	booktitle = {STAIRS 2004: Proceedings of the Second Starting AI Researchers' Symposium},
	keywords = {context mobilephones textentry},
	pages = {217--222},
	publisher = {IOS Press},
	title = {Context-Sensitive Word Selection For Single-Tap Text Entry},
	year = {2004}
}

















@PhdThesis{hawes04phd,
  author = 	 {Nick Hawes},
  title = 	 {Anytime Deliberation for Computer Game Agents},
  school = 	 {School of Computer Science, University of Birmingham},
  year = 	 {2004},
}

@TechReport{hawesetal07balt,
  author      = "Nick Hawes and Michael Zillich and Jeremy Wyatt",
  title       = {BALT & CAST: Middleware for Cognitive Robotics},
  institution = {University of Birmingham, School of Computer Science},
  number      = {CSR-07-1},
  month       = {April},
  year        = {2007},
  email       = {N.A.Hawes@cs.bham.ac.uk, M.Zillich@cs.bham.ac.uk, J.L.Wyatt@cs.bham.ac.uk},
  file        = {/2007/CSR-07-1.pdf},
  url         = {ftp://ftp.cs.bham.ac.uk/pub/tech-reports/2007/CSR-07-1.pdf},
  abstract = { In this paper we present a toolkit for implementing
                 architectures for intelligent robotic systems. This
                 toolkit is based on a previously developed
                 architecture schema (a set of architecture design
                 rules). The purpose of both the schema and toolkit is
                 to facilitate research into information-processing
                 architectures for state-of-the-art intelligent
                 robots, whilst providing engineering solutions for
                 the development of such systems. A robotic system
                 implemented using the toolkit is presented to
                 demonstrate its key features.  }, 
}
@TechReport{hawesetal06cosy,
 author      = "Nick Hawes and Jeremy Wyatt and Aaron Sloman",
  title       = {An Architecture Schema for Embodied Cognitive Systems},
  institution = {University of Birmingham, School of Computer Science},
  number      = {CSR-06-12},
  month       = {November},
  year        = {2006},
  email       = {N.A.Hawes@cs.bham.ac.uk, J.L.Wyatt@cs.bham.ac.uk, A.Sloman@cs.bham.ac.uk},
  url         = {ftp://ftp.cs.bham.ac.uk/pub/tech-reports/2006/CSR-06-12.pdf},
}

@InProceedings{hawesetal06gc5,
   author =       {Nick Hawes and Aaron Sloman and Jeremy Wyatt},
   title =        {Requirements \& Designs: Asking Scientific Questions About Architectures},
   booktitle = {Proceedings of the AISB '06 Symposium on GC5: Architecture of Brain and Mind: Integrating high level cognitive processes with brain mechanisms and functions in a working robot},
   address = 	{Bristol},
   year =         {2006},
   month =        {April},
}
@TechReport{hawesetal07balt,
  author      = "Nick Hawes and Michael Zillich and Jeremy Wyatt",
  title       = {BALT \& CAST: Middleware for Cognitive Robotics},
  institution = {University of Birmingham, School of Computer Science},
  number      = {CSR-07-1},
  month       = {April},
  year        = {2007},
  email       = {N.A.Hawes@cs.bham.ac.uk, M.Zillich@cs.bham.ac.uk, J.L.Wyatt@cs.bham.ac.uk},
  file        = {/2007/CSR-07-1.pdf},
  url         = {ftp://ftp.cs.bham.ac.uk/pub/tech-reports/2007/CSR-07-1.pdf},
  abstract = { In this paper we present a toolkit for implementing
                 architectures for intelligent robotic systems. This
                 toolkit is based on a previously developed
                 architecture schema (a set of architecture design
                 rules). The purpose of both the schema and toolkit is
                 to facilitate research into information-processing
                 architectures for state-of-the-art intelligent
                 robots, whilst providing engineering solutions for
                 the development of such systems. A robotic system
                 implemented using the toolkit is presented to
                 demonstrate its key features.  }, 
}
@InProceedings{hawesetal07cast,
  author      = {Nick Hawes and Michael Zillich and Jeremy Wyatt},
  title       = {{BALT} \& {CAST}: Middleware for Cognitive Robotics},
  month       = {August},
  year        = {2007},
  booktitle = {Proceedings of IEEE RO-MAN 2007},
  location = {Jeju, Korea},
  pages = {998 -- 1003},
  abstract = {In this paper we present a toolkit for implementing
              architectures for intelligent robotic systems. This
              toolkit is based on an architecture schema (a set of
              architecture design rules). The purpose of both the
              schema and toolkit is to facilitate research into
              information-processing architectures for
              state-of-the-art intelligent robots, whilst providing
              engineering solutions for the development of such
              systems. A robotic system implemented using the toolkit
              is presented to demonstrate its key features.},
  url = {http://www.cs.bham.ac.uk/~nah/bibtex/papers/hawesetal07cast.pdf},
}
@InProceedings{hawesetal07eai,
  author = {Nick Hawes and Aaron Sloman and Jeremy Wyatt},
  title = {Towards an Empirical Exploration of Design Space},
  year = 2007,
  booktitle = {Proc.\ of the 2007 AAAI Workshop on Evaluating Architectures for Intelligence},
  address = {Vancouver, Canada},
  url = {http://www.cs.bham.ac.uk/~nah/bibtex/papers/hawesetal07eai.pdf},
  note = {To appear},
  abstract = {In this paper we propose an empirical method for the
              comparison of architectures designed to produce similar
              behaviour from an intelligent system. The approach is
              based on the exploration of \emph{design space} using
              similar designs that all satisfy the same requirements
              in \emph{niche space}. An example of a possible
              application of this method is given using a robotic
              system that has been implemented using a software
              toolkit that has been designed to support architectural
              experimentation.}, 
}
@inproceedings{hawesetal07playmate,
  author = {Nick Hawes and Aaron Sloman and Jeremy Wyatt and Michael Zillich and Henrik Jacobsson and Geert-Jan Kruijff and Michael Brenner and Gregor Berginc and Danijel Sko\v{c}aj},
title     = {Towards an Integrated Robot with Multiple Cognitive Functions},
  booktitle = {AAAI},
  year      = {2007},
  pages     = {1548-1553},
 publisher = {AAAI Press},
}
@InProceedings{hawesetal08ai,
  AUTHOR = {Nick Hawes and Jeremy Wyatt and Aaron Sloman},
  TITLE = {Exploring Design Space For An Integrated Intelligent System},
  BOOKTITLE = {Research and Development in Intelligent Systems XXV: Proceedings
  of AI-2008, The Twenty-eighth SGAI International Conference on Innovative
  Techniques and Applications of Artificial Intelligence},
  YEAR = {2008},
  EDITOR = {Max Bramer and Frans Coenen and Miltos Petridis},
  ADDRESS = {Cambridge, England},
  MONTH = {December},
  PUBLISHER = {Springer},
  ABSTRACT = {Understanding the trade-offs available in the design space of intelligent
  systems is a major unaddressed element in the study of Artificial
  Intelligence. In this paper we approach this problem in two ways.
  First, we discuss the development of our integrated robotic system
  in terms of its trajectory through design space. Second, we demonstrate
  the practical implications of architectural design decisions by using
  this system as an experimental platform for comparing behaviourally
  similar yet architecturally different systems. The results of this
  show that our system occupies a "sweet spot" in design space in terms
  of the cost of moving information between processing components.}}
@Article{hawesetal08kbs,
  author = {Nick Hawes and Jeremy Wyatt and Aaron Sloman},
  title = {Exploring Design Space For An Integrated Intelligent System},
  year = {To Appear},
  journal = {Knowledge Based Systems},
  note = {To appear},
  abstract = {Understanding the trade-offs available in the design
                  space of intelligent systems is a major unaddressed
                  element in the study of Artificial Intelligence. In
                  this paper we approach this problem in two
                  ways. First, we discuss the development of our
                  integrated robotic system in terms of its trajectory
                  through design space. Second, we demonstrate the
                  practical implications of architectural design
                  decisions by using this system as an experimental
                  platform for comparing behaviourally similar yet
                  architecturally different systems. The results of
                  this show that our system occupies a "sweet spot" in
                  design space in terms of the cost of moving
                  information between processing components.}, 
}
@inproceedings{hawesetal09hri,
 author = {Hawes, Nick and Brenner, Michael and Sj\"{o}\"{o}, Kristoffer},
 title = {Planning as an architectural control mechanism},
 booktitle = {HRI '09: Proceedings of the 4th ACM/IEEE international conference on Human robot interaction},
 year = {2009},
 isbn = {978-1-60558-404-1},
 pages = {229--230},
 location = {La Jolla, California, USA},
 doi = {http://doi.acm.org/10.1145/1514095.1514150},
 publisher = {ACM},
 address = {New York, NY, USA},
}

@inproceedings{hawesetal09hycas,
  author = {Nick Hawes and Hendrik Zender and Kristoffer Sj\"{o}\"{o} and Michael Brenner and Geert-Jan M. Kruijff and Patric Jensfelt},
  title = {Planning and Acting with an Integrated Sense of Space},
  booktitle = {Proceedings of the 1st International Workshop on Hybrid Control of Autonomous Systems -- Integrating Learning, Deliberation and Reactive Control (HYCAS)},
  pages = {25--32},
  address = {Pasadena, CA, USA},
  month = {July},
  year = {2009}}
@InProceedings{,
  author = 	 {Nick Hawes and Jeremy Wyatt},
  title = 	 {Towards Context-Sensitive Visual Attention},
  booktitle = {Proceedings of the Second International Cognitive Vision Workshop (ICVW06)},
  year = 	 {2006},
  address = 	 {Graz, Austria},
  month = 	 {May},
  url = {http://www.cs.bham.ac.uk/research/projects/cosy/bib-db/papers/haweswyatt06.pdf},
  abstract = {In this paper we present a discussion of information
  processing context and how we believe a visual attention system
  should be influenced by contextual information. We support this
  argument with a proof-of-concept design and implementation of a
  context-sensitive extension to the Itti & Koch model of visual
  attention as part of an architecture for a cognitive system. Our
  model demonstrates improved performance in terms of both fixations
  and processing time on visual search tasks compared to the
  non-extended model.},
}


@inproceedings{haweswyatt08b,
	Author = {Nick Hawes and Jeremy Wyatt},
	Booktitle = {IROS Workshop on current software frameworks in cognitive robotics integrating different computational paradigms},
	Date-Added = {2009-01-30 09:33:53 +0000},
	Date-Modified = {2009-01-30 09:40:06 +0000},
	Editor = {Martin H{\"u}lse and Manfred Hild},
	Keywords = {cosy, irlab, cast},
	Month = {September},
	Title = {Developing Intelligent Robots with CAST},
	Year = {2008},
	URL = {http://www.cs.bham.ac.uk/~nah/bibtex/papers/haweswyatt08b.pdf}}

@InProceedings{haweswyatt08benchmarking,
  author      = {Nick Hawes and Jeremy Wyatt},
  title       = {Benchmarking The Influence of Information-Processing
                  Architectures on Intelligent Systems},
  month       = {June},
  year        = {2008},
  booktitle = {Proceedings of the Robotics: Science \& Systems 2008 Workshop:  Experimental Methodology and Benchmarking in Robotics Research},
  location = {Zurich, Switzerland},
  url = {http://www.cs.bham.ac.uk/~nah/bibtex/papers/haweswyatt08benchmarking.pdf},
}
%% -*-BibTeX-*-


@InProceedings{hoar97evaluation,
  author =	 {J. Hoar and J. Wyatt and G. Hayes},
  title =	 {Multiple Evaluation Techniques for Robot Learning},
  booktitle =	 {10th International Florida AI research symposium
                  (FLAIRS)},
  year =	 1997
}

@Article{inverso04think,
  author = 	 {Sam A. Inverso and Nick Hawes and John Kelleher and Rebecca Allen  and Ken Haase},
  title = 	 {Think And Spell: Context-Sensitive Predictive Text for an Ambiguous Keyboard Brain-Computer Interface Speller},
  journal = 	 {Biomedizinische Technik},
  year = 	 {2004},
  volume = 	 {49},
  number = 	 {1},
  pages = 	 {53-54},
  month = 	 {September},
}

@InProceedings{jacobssonetal07binding,
  title =	 {Crossmodal Content Binding in Information-Processing
                  Architectures},
  author =	   {Henrik Jacobsson and Nick Hawes and Geert-Jan
                  Kruijff and Jeremy Wyatt},
  booktitle =	   {Symposium on Language and Robots},
  address =  {Aveiro, Portugal},
  year =   {2007},
}
@InProceedings{jacobssonetal07learning,
  title =	 {Interactive Learning and Cross-Modal Binding - A
                  Combined Approach},
  author =	   {Henrik Jacobsson and Nick Hawes and Danijel
                  Sko\v{c}aj and Geert-Jan Kruijff},
  booktitle =	   {Symposium on Language and Robots},
  address =  {Aveiro, Portugal},
  year =   {2007}
}
@InProceedings{jacobssonetal08hri,
 author = {Henrik Jacobsson and Nick Hawes and Geert-Jan Kruijff and Jeremy Wyatt},
 title = {Crossmodal content binding in information-processing architectures},
 booktitle = {HRI '08: Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction},
 year = {2008},
 isbn = {978-1-60558-017-3},
 pages = {81--88},
 location = {Amsterdam, The Netherlands},
 doi = {http://doi.acm.org/10.1145/1349822.1349834},
 publisher = {ACM},
 address = {New York, NY, USA},
 }
@InProceedings{kruijffetal06pit,
        author  = {Geert-Jan M. Kruijff and John D. Kelleher and Nick Hawes},
        title           = {Information Fusion For Visual Reference Resolution In Dynamic Situated Dialogue},
        booktitle = {Perception and Interactive Technologies: International Tutorial and Research Workshop, PIT 2006},
        editor  = {Elisabeth Andre and Laila Dybkjaer and Wolfgang Minker and Heiko Neumann and Michael Weber},
        publisher = {Springer Berlin / Heidelberg},
        year    = {2006},
        month = {June},
        ee = {http://dx.doi.org/10.1007/11768029_12},
        series    = {Lecture Notes in Computer Science},
volume = {4021},
address = {Kloster Irsee, Germany},
pages = {117 -- 128}
}
@InProceedings{kruijffetal07incremental,
  title =	 {Incremental, multi-level processing for comprehending situated dialogue in human-robot interaction},
  author =	   {Geert-Jan M. Kruijff and Pierre Lison and Trevor Benjamin and Henrik Jacobsson and Nick Hawes},
  booktitle =	   {Symposium on Language and Robots},
  address =  {Aveiro, Portugal},
  year =   {2007},
}
@InProceedings{kruijffetal08roman,
  author      = {Geert-Jan Kruijff and Michael Brenner and Nick Hawes},
  title       = {Continual Planning for Cross-Modal Situated Clarification in Human-Robot Interaction},
  month       = {August},
  year        = {2008},
  booktitle = {Proceedings of IEEE RO-MAN 2008},
  location = {Munich, Germany},
  abstract = {Robots do not fully understand the world they are
                  situated in. This includes what humans talk to them
                  about. A fundamental problem is thus how a robot can
                  clarify such a lack of understanding. This paper
                  addresses the issue of how a robot can create a plan
                  for resolving a need for clarification. It
                  characterises situated clarification as an
                  information need which may arise in any
                  sensory-motoric modality required to interpret the
                  situated context of the robot, or any deliberative
                  modality referring to that context. It then focuses
                  on how, once a clarification need has been
                  identified, the robot can create a plan in which one
                  or more modalities are used to resolve
                  it. Modalities are involved on the basis of the
                  types of information they can provide. These
                  information types are identified in the ontologies
                  the modalities use to interconnect their content
                  with content of other modalities (via information
                  fusion). We take a continual approach to planning
                  and execution monitoring. This provides the ability
                  to re-plan depending on modality availability and
                  success in resolving (part of) a clarification
                  need. We illustrate the implementation on several
                  examples.},
}
@InProceedings{matsumura03robust,
  author = 	 {Y. Matsumura and X. Yao and J. L. Wyatt and K. Ohkura and K. Ueda},
  title = 	 {Robust Evolution Strategies Applied to Continuous-Time Recurrent Neural Networks},
    booktitle = {Proceedings of the 2nd International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS 2003)},
    year = 	 {2003},
  address = 	 {Singapore},
  
}

%% -*-BibTeX-*-


@InProceedings{matsumuraetal03,
  author =	 {Y. Matsumura and X. Yao and  J.L. Wyatt and K.Ohkura and K. Ueda},
  title =	 {Robust Evolution Strategies Use Adaptive Search Strategies to Design Continuous-Time Recurrent Neural Networks},
  booktitle =	 {Proceedings of the 2nd International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS 2003)},
  pages =	 {PS07-3-03},
  year =	 2003
}

%% -*-BibTeX-*-


@InProceedings{matsumuraetal04a,
  author =	 {Y. Matsumura and N. Fujimoto and  X. Yao and  J.L. Wyatt and K.Hagihara},
  title =	 {Near-Optimal Dynamic Grid Task Scheduling of Evolution Strategies},
  booktitle =	 {4th International Conference on Advanced Mechatronics (ICAM 04)},
  pages =	 {175--180},
  year =	 2004
}

%% -*-BibTeX-*-


@InProceedings{matsumuraetal04b,
  author =	 {Y. Matsumura and N. Fujimoto and  X. Yao and  J.L. Wyatt and K.Hagihara},
  title =	 {Evolution Strategies on Grid Computing},
  booktitle =	 {China-Japan Joint Conference on Mechatronics (CJCM), CJ-H2},
  pages =	 {105--106},
  year =	 2004
}

%% -*-BibTeX-*-


@InProceedings{matsumuraetal06,
  author =	 {Y. Matsumura and Y. Murayama and  N.Fujimoto and K. Hagihara and J. Wyatt and X. Yao},
  title =	 {Evolutionary Strategies in a Local Desktop Grid Environment Using Task Scheduling Algorithms},
  booktitle =	 {},
  pages =	 {},
  year =	 2006
}

@InProceedings{montes03cartesian,
  author = 	 {Hector Montes and Jeremy Wyatt},
  title = 	 {Cartesian Genetic Programming for Image Processing Tasks},
  booktitle = {Proceedings of IASTED International Conference on Neural Networks and Computational Intelligence (NCI 2003)},
  year = 	 {2003},
  address = 	 {Cancun, Mexico},
}

@InProceedings{reynolds00partitioning,
  author = 	 {Stuart I. Reynolds},
  title = 	 {Decision Boundary Partitioning: Variable Resolution Model-Free Reinforcement Learning},
  booktitle = {Proceedings of the 17th International Conference on Machine Learning (ICML-2000)},
  pages = 	 {783--790},
  year = 	 {2000},
  publisher = {Morgan Kaufmann},
}

@InProceedings{reynolds01adaptive,
  author = 	 {Stuart I. Reynolds},
  title = 	 {Adaptive Representation Methods for Reinforcement Learning},
  booktitle = {Advances in Artificial Intelligence, (14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence (AI-2001)},
  pages = 	 {345--348},
  year = 	 {2001},
  number = 	 {2056},
  series = 	 {Lecture Notes in Artificial Intelligence},
  address = 	 {Ottawa, Canada},
  month = 	 {June},
  publisher = {Springer-Verlag},
}

@InProceedings{reynolds01curse,
  author = 	 {Stuart I. Reynolds},
  title = 	 {The Curse of Optimism},
  booktitle = {Proceedings of the Fifth European Workshop on Reinforcement Learning},
  year = 	 {2001},
  address = 	 {Utrecht, The Netherlands},
  month = 	 {October},
}

@InProceedings{reynolds01forwardlambda,
  author = 	 {Stuart I. Reynolds},
  title = 	 {Experience Stack Reinforcement Learning: An Online Forward lambda-Return Method},
  booktitle = {Proceedings of the Fifth European Workshop on Reinforcement Learning},
  year = 	 {2001},
  address = 	 {Utrecht, The Netherlands},
  month = 	 {October},
}

@InProceedings{reynolds01qvalues,
  author = 	 {Stuart I. Reynolds},
  title = 	 {Optimistic Initial Q-values and the max Operator},
   booktitle = {First UK Workshop on Computational Intelligence (UKCI`01)},
   year = 	 {2001},
 address = 	 {Edinburgh, Scotland},
  month = 	 {September},
}

@TechReport{reynolds02offpolicy,
  author = 	 {Stuart I. Reynolds},
  title = 	 {Experience Stack Reinforcment Learning for Off-Policy Control},
  institution =  {School of Computer Science, The University of Birmingham},
  year = 	 {2002},
  number = 	 {CSRP-02-01},
  address = 	 {Birmingham, UK},
  month = 	 {January},
}

@TechReport{reynolds02qlambda,
  author = 	 {Stuart I. Reynolds and Marco A. Wiering},
  title = 	 {Fast Q(lambda) Revisited},
  institution =  {School of Computer Science, The University of Birmingham},
  year = 	 {2002},
  number = 	 {CSRP-02-02},
  address = 	 {Birmingham, UK},
  month = 	 {May},
}

@InProceedings{reynolds02stability,
  author = 	 {Stuart I. Reynolds},
  title = 	 {The Stability of General Discounted Reinforcement Learning with Linear Function Approximation},
  booktitle = {UK Workshop on Computational Intelligence (UKCI-02)},
  year = 	 {2002},
  address = 	 {Birmingham, UK},
  month = 	 {September},
}

@InProceedings{reynolds99issues,
  author = 	 {Stuart I. Reynolds},
  title = 	 {Issues in Adaptive Representation Reinforcement Learning},
  booktitle = {4th European Workshop on Reinforcement Learning (EWRL-4)},
  year = 	 {1999},
  address = 	 {Lugano, Switzerland},
  month = 	 {October},
 }

%% -*-BibTeX-*-


@InProceedings{ritthipravatetal04,
  author =	 {Panrasee Ritthipravat and Thavida Maneewarn and Djitt Laowattana and Jeremy Wyatt},
  title =	 {A Modified Approach to Fuzzy Q Learning for Mobile Robots},
  booktitle =	 {Proceedings of IEEE SMC 2004, International Conference on Systems, Man and Cybernetics},
  pages =	 {2350--2356},
  year =	 2004
}

@inproceedings{skocajetal07,
author = "D. Sko\v{c}aj and G. Berginc and B. Ridge and A. \v{S}timec 
and M. Jogan and O. Vanek and A. Leonardis and M. Hutter and N. Hawes",
title = "A System for Continuous Learning of Visual Concepts",
booktitle = "International Conference on Computer Vision Systems ICVS 2007",
address= "Bielefeld, Germany",
year = "2007",
}
@InProceedings{slomanetal06cogrob,
  author = 	 {Aaron Sloman and Jeremy Wyatt and Nick Hawes and Jackie Chappell and Geert-Jan M. Kruijff},
  title = 	 {Long Term Requirements for Cognitive Robotics},
  booktitle = {Proceedings CogRob2006,  The Fifth International Cognitive Robotics Workshop. The AAAI-06  Workshop on Cognitive Robotics},
  year = 	 {2006},
  address = 	 {Boston, Massachusetts, USA},
  month = 	 {July},
  url = {},
  abstract = {This paper discusses some of the long term objectives of cognitive robotics and some of the requirements for meeting those objectives that are still a very long way off. These include requirements for visual perception, for architectures, for kinds of learning, and for innate competences needed to drive learning and development in a variety of different environments. The work arises mainly out of research on requirements for forms of representation and architectures within the PlayMate scenario, which is a scenario concerned with a robot that perceives, interacts with and talks about 3-D objects on a tabletop, one of the scenarios in the EC-funded CoSy Robotics project.},
}

@TechReport{sridharanetal07,
  author      = {Mohan Sridharan and Nick Hawes and Jeremy Wyatt and Richard Dearden and Aaron Sloman},
  title       = {Planning Information Processing and Sensing Actions},
  institution = {University of Birmingham, School of Computer Science},
  number      = {COSY-TR-0706},
  month       = {November},
  year        = {2007},
abstract = { The goal of the CoSy project is to create cognitive
robots to serve as a testbed of theories on how humans work, and to
identify problems and techniques relevant to producing general-purpose
human-like domestic robots. Given the constraints on the resources
available at the robot's disposal and the complexity of the tasks that
the robot has to execute during cognitive interactions with other
agents or humans, it is essential that the robot perform just those
tasks that are necessary for it to achieve its goal. In this paper we
describe our attempts at creating such a system that enables a mobile
robot to plan its information processing and sensing actions. We build
on an existing planning framework, which is based on Continual
Planning. Continual planning combines planning, plan execution and
plan monitoring. Unlike classical planning approaches, here it is not
necessary to model all contingencies in advance -- the agent acts as
soon as it has a feasible plan, in an attempt to gather more
information that would help resolve the uncertainty on the rest of the
plan. We describe how the system addresses challenges such as state
representation, conflict resolution and uncertainty. A few
experimental results are provided to highlight both the advantages and
disadvantages of the current approach, and to motivate directions of
further research. All algorithms are implemented and tested in the
playmate scenario.}  
}


@inproceedings{sridharanetal08ehippo,
	Abstract = {One major challenge to the widespread deployment of mobile robots is the ability to autonomously tailor the sensory processing to the task on hand. In our prior work \cite{mohan:icaps08}, we proposed an approach for such general-purpose processing of visual input in an application domain where a robot and a human jointly converse about and manipulate objects on a tabletop by processing the regions of interest (ROIs) in input images. We posed the visual processing management problem as a partially observable Markov decision problem (POMDP), and introduced a hierarchical decomposition to make it tractable to plan with POMDPs. In this paper we analyze and eliminate some of the limitations of the existing approach. First, in addition to tackling visual actions that analyze the state of the world represented by the image, we show how to incorporate actions that can change the state. Secondly, we show how policy caching can be used to speed the planning performance and analyse the tradeoff between planning speed and plan quality.},
	Annote = {Extensions to the ICAPS-08 paper...},
	Author = {M. Sridharan and R. Dearden and J. Wyatt },
	Bib2Html_Funding = {CoSy, CogX, Leverhulme},
	Bib2Html_Pubtype = {Refereed Workshop},
	Bib2Html_Rescat = {Vision, Planning, Robotics},
	Bibauthor = {smohan},
	Booktitle = {The 27th {PlanSIG} Workshop},
	Date-Added = {2009-01-04 19:57:38 +0000},
	Date-Modified = {2009-01-04 21:03:52 +0000},
	Keywords = {cosy; planning; vision},
	Month = {December 11-12},
	Title = {{E-HiPPo}: {E}xtensions to {H}ierarchical {POMDP}-based {V}isual {P}lanning on a {R}obot},
	Year = {2008}}

@inproceedings{sridharanetal08hippo,
	Abstract = {Flexible general purpose robots need to tailor their visual processing to their task, on the fly. We propose a new approach to this within a planning framework, where the goal is to plan a sequence of visual operators to apply to the regions of interest (ROIs) in a scene. We pose the visual processing problem as a Partially Observable Markov Decision Process (POMDP). This requires probabilistic models of operator effects to quantitatively capture the unreliability of the processing actions, and thus reason precisely about trade-offs between plan execution time and plan reliability. Since planning in practical sized POMDPs is intractable we show how to ameliorate this intractability somewhat for our domain by defining a hierarchical POMDP. We compare the hierarchical POMDP approach with a Continual Planning (CP) approach. On a real robot visual domain, we show empirically that all the planning methods outperform naive application of all visual operators. The key result is that the POMDP methods produce more robust plans than either naive visual processing or the CP approach. In summary, we believe that visual processing problems represent a challenging and worthwhile domain for planning techniques, and that our hierarchical POMDP based approach to them opens up a promising new line of research.},
	Annote = {Well, my first ICAPS paper on POMDP-based planning...},
	Author = {M. Sridharan and J. Wyatt and R. Dearden},
	Bib2Html_Funding = {CoSy, CogX, Leverhulme},
	Bib2Html_Pubtype = {Refereed Conference},
	Bib2Html_Rescat = {Vision, Planning, Robotics},
	Bibauthor = {smohan},
	Booktitle = {International Conference on Automated Planning and Scheduling (ICAPS)},
	Date-Added = {2009-01-04 19:57:34 +0000},
	Date-Modified = {2009-01-04 21:03:52 +0000},
	Keywords = {cosy; planning; vision},
	Month = {September 14-18},
	Title = {{HiPPo}: {H}ierarchical {POMDP}s for {P}lanning {I}nformation {P}rocessing and {S}ensing {A}ctions on a {R}obot},
	Year = {2008}}
%% -*-BibTeX-*-


@InProceedings{sunmola03committees,
  author =	 {F. Sunmola and J. Wyatt},
  title =	 {Developing Committees of Explorers for Reinforcement
                  Learning Agents},
  booktitle =	 {3rd Symposium on Adaptive Agents and Multi-Agent
                  Systems},
  year =	 2003
}

%% -*-BibTeX-*-


@InProceedings{sunmolawyatt04,
  author =	 {F. Sunmola and J. Wyatt},
  title =	 {Optimistic Model Selection in Structure-based Reinforcement Learning},
  booktitle =	 { Proceedings of the Sixth European Workshop on Reinforcement Learning EWRL-6},
  editor =       {Alain Dutech and Olivier Buffet},
  pages  =       {31--32},
  year =	 2003
}

%% -*-BibTeX-*-


@InProceedings{sunmolawyatt05,
  author =	 {F. Sunmola and J. Wyatt},
  title =	 {Reinforcement Learning using Optimistic Process
                  Filtered Models},
  booktitle =	 {Proceedings of Benelearn'05},
  year =	 2005
}

%% -*-BibTeX-*-


@InProceedings{sunmolawyatt06,
  author =	 {F. Sunmola and J. Wyatt},
  title =	 {Bayesian Inference in Constrained Parameter Markov Decision Processes with Uncertain Transition Probabilities},
  booktitle =	 {Proceedings of the ECAI 2006 Workshop on Planning, Learning and Monitoring with Uncertainty and Dynamic Worlds},
  year =	 2006
}

@inproceedings {vreckoetal09cvww,
	       booktitle = {Proceedings of the Fourteenth Computer Vision Winter Workshop (CVWW)},
	       abstract = {We present a general method for integrating visual components into a multi-modal cognitive system. The integration is very generic and can work with an arbitrary set of other modalities. We illustrate our integration approach with a specific instantiation of the architecture schema that focuses on integration of vision and language: a cognitive system able to collaborate with a human, learn and display some understanding of its surroundings. As examples of cross-modal interaction we describe mechanisms for clarification and visual learning.},
	       year = {2009},
	       author = {Vre\v{c}ko, A. and Sko\v{c}aj, D. and Hawes, N. and Leonardis, A},
	       title = {Integration of Computer Vision Components into a Multi-modal Cognitive System},
}
%% -*-BibTeX-*-


@InProceedings{wyatt00optimistic,
  author =	 {J. Wyatt},
  title =	 {Optimistic Model Selection for Exploration Control},
  booktitle =	 {Learning'00},
  year =	 2000,
  editor =	 {C.Bousono-Calzon et al.}
ggv iee}

%% -*-BibTeX-*-


@InProceedings{wyatt01icml,
  author =	 {J. Wyatt},
  title =	 {Exploration Control in Reinforcement Learning Using
                  Optimistic Model Selection},
  booktitle =	 { Proceedings of the Eighteenth International
                  Conference on Machine Learning},
  year =	 2001,
  editor =	 {A. Danyluk and C. Brodley}
}

%% -*-BibTeX-*-


@InBook{wyatt01overview,
  author =	 {J. Wyatt},
  editor =	 {I.O.Statmescu},
  title =	 {Perspectives on Adaptivity and Learning},
  chapter =	 {Reinforcement Learning: A Brief Overview},
  publisher =	 {Springer},
  year =	 2001
}

@InBook{wyatt02overview,
  author = 	 {Jeremy Wyatt},
  editor = 	 {I.O. Stamatescu},
  title = 	 {Perspectives on Adaptivity and Learning},
  chapter = 	 {Reinforcement Learning: a brief overview},
  publisher = 	 {Springer},
  year = 	 {2002},
  pages = 	 {243 -- 264},
}

%% -*-BibTeX-*-


@InProceedings{wyatt05ijcai,
  author =	 {J. Wyatt},
  title =	 {Planning clarification questions to resolve
                  ambiguous references to objects},
  booktitle =	 {Proceedings of the 4th Workshop on Knowledge and
                  Reasoning in Practical Dialogue Systems, held at
                  IJCAI 05},
  year =	 2005
}

%% -*-BibTeX-*-


@InBook{wyatt05overview,
  author =	 {J. Wyatt},
  editor =	 {L. Bull and T. Kovacs},
  title =	 {Foundations of Learning Classifier Systems},
  chapter =	 {Reinforcement Learning: A Brief Overview},
  publisher =	 {Springer},
  year =	 2005
}

%% -*-BibTeX-*-


@InBook{wyatt05teams,
  author =	 {J. Wyatt, Y. Matsumura and M. Todd},
  editor =	 {Natalie Gold},
  title =	 {Teamwork: Multi-Disciplinary Perspectives},
  chapter =	 {Learning in Robot Teams},
  publisher =	 {Palgrave McMillan},
  year =	 2004,
  pages =	 {236-251}
}

%% -*-BibTeX-*-


@InProceedings{wyatt95aisb,
  author =	 {J. Wyatt},
  title =	 {Issues in putting Reinforcement Learning onto
                  robots},
  booktitle =	 {Mobile Robotics Workshop, 10th Biennal Conference of
                  the AISB},
  year =	 1995,
  address =	 {Sheffield},
  month =	 {April}
}

@InProceedings{wyatt96qlambda,
  author = 	 {Jeremy Wyatt and Gillian Hayes and John Hallam},
  title = 	 {Investigating the Behaviour of Q(lambda)},
  booktitle = {Colloquium on Self-Learning Robots},
  year = 	 {1999},
  address = 	 {London},
  month = 	 {February},
  }

@InProceedings{wyatt97methods,
  author = 	 {Jeremy Wyatt and John Hoar and Gillian Hayes},
  title = 	 {Experimental methods for robot learning},
  booktitle = {Towards Intelligent Mobile Robots - Scientific Methods in Mobile Robotics},
  year = 	 {1999},
  editor = 	 {U. Nehmzow and M. Recce and D. Bisset},
  note = 	 {University of Manchester, Department of Computer Science Tech Report UMCS-97-9-1.},
}

%% -*-BibTeX-*-


@PhdThesis{wyatt97phd,
  author =	 {J. Wyatt},
  title =	 {Exploration and Inference in Learning from
                  Reinforcement},
  school =	 {Department of Artificial Intelligence, University of
                  Edinburgh},
  year =	 1997,
}

%% -*-BibTeX-*-


@Article{wyatt98design,
  author =	 {J. Wyatt, J. Hoar and G. Hayes},
  title =	 {Design, analysis and comparison of robot learners},
  journal =	 {Robotics and Autonomous Systems: Special Issue on
                  quantitative methods in mobile robotics},
  year =	 1998,
  volume =	 24,
  number =	 1,
  pages =	 {17--32}
}

%% -*-BibTeX-*-


@Proceedings{wyattdemiris00ewlr,
  title =	 {Advances in Robot Learning: Proceedings of the 8th
                  European Workshop on Learning Robots},
  year =	 2000,
  editor =	 {J. Wyatt and J. Demiris},
  number =	 1812,
  series =	 {Lecture Notes in AI},
  publisher =	 {Springer-Verlag}
}

@inproceedings{wyatthawes08bica,
        Author = {Jeremy Wyatt and Nick Hawes},
        Booktitle = {Proceedings of AAAI 2008 Fall Symposium on Biologically Inspired Cognitive Architectures},
        Editor = {Alexei V. Samsonovich},
        Pages = {201 -- 206},
        Publisher = {The AAAI Press},
        Title = {Multiple Workspaces as an Architecture for Cognition},
        Year = {2008},
  abstract = {In this paper we describe insights for theories of
                  natural intelligence that arise from recent advances
                  in architectures for robot intelligence. In
                  particular we advocate a sketch theory for the study
                  of both natural and artificial intelligence that
                  consists of a set of constraints on
                  architectures. The sketch includes the use of
                  multiple shared workspaces, parallel asynchronous
                  refinement of shared representations, statistical
                  integration of evidence within and across
                  modalities, massively parallel prediction and
                  content addressable memory to allow binding across
                  workspaces.}
}
@InProceedings{yao01traffic,
  author = 	 {X. Yao and M. M. Fischer and G. Brown},
  title = 	 {Neural Network Ensembles and Their Application to Traffic Flow Prediction in Telecommunications Networks},
  booktitle = {Proceedings of the 2001 INNS/IEEE International Joint Conference on Neural Networks (IJCNN'01)},
    year = 	 {2001},
  month = 	 {July},
  publisher = {IEEE Press, Piscataway, NJ, USA},
}
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