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Learning Classifier Systems

11th International Workshop, IWLCS 2008, Atlanta, GA, USA, July 13, 2008, and 12th International Workshop, IWLCS 2009, Montreal, QC, Canada, July 9, 2009, Revised Selected Papers

  • Conference proceedings
  • © 2010

Overview

Editors:
  1. Jaume Bacardit

    1. School of Computer Science, ASAP research group, University of Nottingham, Jubilee Campus, Nottingham, NG8 1BB, and Multidisciplinary Centre for Integrative Biology, School of Biosciences, Sutton Bonington, UK

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  2. Will Browne

    1. School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand

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  3. Jan Drugowitsch

    1. Department of Brain and Cognitive Sciences, University of Rochester, Rochester, USA

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  4. Ester Bernadó-Mansilla

    1. Enginyeria i Arquitectura La Salle, Universitat Ramon Llull, Barcelona, Spain

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  5. Martin V. Butz

    1. Department of Psychology III, University of Würzburg, COBOSLAB – Cognitive Bodyspaces: Learning and Behavior,, Würzburg, Germany

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  • Up-to-date results in learning classifier systems

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6471)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: IWLCS 2008. IWLCS 2009.

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About this book

This book constitutes the thoroughly refereed joint post-conference proceedings of two consecutive International Workshops on Learning Classifier Systems that took place in Atlanta, GA, USA in July 2008, and in Montreal, Canada, in July 2009 - all hosted by the Genetic and Evolutionary Computation Conference, GECCO. The 12 revised full papers presented were carefully reviewed and selected from the workshop contributions. The papers are organized in topical sections on LCS in general, function approximation, LCS in complex domains, and applications.

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Table of contents (12 papers)

  1. Front Matter

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  2. LCS and Related Methods

    1. Speeding Up Matching in Learning Classifier Systems Using CUDA

      • Pier Luca Lanzi, Daniele Loiacono
      Pages 1-20

    2. Evolution of Interesting Association Rules Online with Learning Classifier Systems

      • Albert Orriols-Puig, Jorge Casillas
      Pages 21-37

    3. Coevolution of Pattern Generators and Recognizers

      • Stewart W. Wilson
      Pages 38-46

  3. Function Approximation

    1. How Fitness Estimates Interact with Reproduction Rates: Towards Variable Offspring Set Sizes in XCSF

      • Patrick O. Stalph, Martin V. Butz
      Pages 47-56

    2. Current XCSF Capabilities and Challenges

      • Patrick O. Stalph, Martin V. Butz
      Pages 57-69

  4. LCS in Complex Domains

    1. Recursive Least Squares and Quadratic Prediction in Continuous Multistep Problems

      • Daniele Loiacono, Pier Luca Lanzi
      Pages 70-86

    2. Use of a Connection-Selection Scheme in Neural XCSF

      • Gerard David Howard, Larry Bull, Pier-Luca Lanzi
      Pages 87-106

    3. Building Accurate Strategies in Non Markovian Environments without Memory

      • Énée Gilles, Péroumalnaïk Mathias
      Pages 107-126

    4. Classification Potential vs. Classification Accuracy: A Comprehensive Study of Evolutionary Algorithms with Biomedical Datasets

      • Ajay Kumar Tanwani, Muddassar Farooq
      Pages 127-144

  5. Applications

    1. Supply Chain Management Sales Using XCSR

      • María Franco, Ivette Martínez, Celso Gorrin
      Pages 145-165

    2. Identifying Trade Entry and Exit Timing Using Mathematical Technical Indicators in XCS

      • Richard Preen
      Pages 166-184

    3. On the Homogenization of Data from Two Laboratories Using Genetic Programming

      • Jose G. Moreno-Torres, Xavier Llorà, David E. Goldberg, Rohit Bhargava
      Pages 185-197

  6. Back Matter

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Other volumes

  1. Learning Classifier Systems

Editors and Affiliations

  • School of Computer Science, ASAP research group, University of Nottingham, Jubilee Campus, Nottingham, NG8 1BB, and Multidisciplinary Centre for Integrative Biology, School of Biosciences, Sutton Bonington, UK

    Jaume Bacardit

  • School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand

    Will Browne

  • Department of Brain and Cognitive Sciences, University of Rochester, Rochester, USA

    Jan Drugowitsch

  • Enginyeria i Arquitectura La Salle, Universitat Ramon Llull, Barcelona, Spain

    Ester Bernadó-Mansilla

  • Department of Psychology III, University of Würzburg, COBOSLAB – Cognitive Bodyspaces: Learning and Behavior,, Würzburg, Germany

    Martin V. Butz

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