Advances in Learning Classifier Systems

4th International Workshop, IWLCS 2001 San Francisco, CA, USA, July 7–8, 2001 Revised Papers

  • Pier Luca Lanzi
  • Wolfgang Stolzmann
  • Stewart W. Wilson

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2321)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 2321)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Theory

  3. Applications

    1. Ester Bernadó, Xavier Llorà, Josep M. Garrell
      Pages 115-132
    2. Phillip William Dixon, David W. Corne, Martin John Oates
      Pages 133-150
    3. Sonia Schulenburg, Peter Ross
      Pages 151-180
    4. Patrícia Amâncio Vargas, Christiano Lyra Filho, Fernando J. Von Zuben
      Pages 181-196
    5. Stewart W. Wilson
      Pages 197-208
  4. Appendix

    1. Martin V. Butz, Wolfgang Stolzmann
      Pages 211-229
  5. Back Matter
    Pages 231-231

About these proceedings

Keywords

Adaption Agent-Based Systems Algorithmic Learning Classification Classifier Systems Clustering Data Analysis Learning Classifier Systems Multi-Agent Learning Rule-Based Systems data mining learning

Editors and affiliations

  • Pier Luca Lanzi
    • 1
  • Wolfgang Stolzmann
    • 2
  • Stewart W. Wilson
    • 3
    • 4
  1. 1.Dipartimento di Elettronica e Informazione Artificial Intelligence and Robotics LaboratoryPolitecnico di MilanoMilanItaly
  2. 2.Research and Technology, Cognition and RoboticsDaimlerChrysler AGBerlinGermany
  3. 3.Prediction DynamicsConcordUSA
  4. 4.Department of General EngineeringThe University of IllinoisUrbana-ChampaignUSA

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-48104-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2002
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-43793-2
  • Online ISBN 978-3-540-48104-1
  • Series Print ISSN 0302-9743
  • About this book