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Advances in Learning Classifier Systems

Third International Workshop, IWLCS 2000, Paris, France, September 15-16, 2000. Revised Papers

  • Conference proceedings
  • © 2001

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1996)

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

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About this book

Learning classi er systems are rule-based systems that exploit evolutionary c- putation and reinforcement learning to solve di cult problems. They were - troduced in 1978 by John H. Holland, the father of genetic algorithms, and since then they have been applied to domains as diverse as autonomous robotics, trading agents, and data mining. At the Second International Workshop on Learning Classi er Systems (IWLCS 99), held July 13, 1999, in Orlando, Florida, active researchers reported on the then current state of learning classi er system research and highlighted some of the most promising research directions. The most interesting contri- tions to the meeting are included in the book Learning Classi er Systems: From Foundations to Applications, published as LNAI 1813 by Springer-Verlag. The following year, the Third International Workshop on Learning Classi er Systems (IWLCS 2000), held September 15{16 in Paris, gave participants the opportunity to discuss further advances in learning classi er systems. We have included in this volume revised and extended versions of thirteen of the papers presented at the workshop.

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Table of contents (15 papers)

  1. Advanced Architectures

  2. The Bibliography

  3. Appendix

Editors and Affiliations

  • Politecnico di Milano Dipartimento di Elettronica e Informazione, Artificial Intelligence and Robotics Laboratory, Milan, Italy

    Pier Luca Lanzi

  • DaimlerChrysler AG Research and Technology,Cognition and Robotics, Berlin, Germany

    Wolfgang Stolzmann

  • Prediction Dynamics, Concord, USA

    Stewart W. Wilson

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