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An Algorithmic Description of XCS

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Advances in Learning Classifier Systems (IWLCS 2000)

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

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Abstract

A concise description of the XCS classifier system’s parameters, structures, and algorithms is presented as an aid to research. The algorithms are written in modularly structured pseudo code with accompanying explanations.

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Author information

Authors and Affiliations

  1. Institute for Psychology III & Department of Computer Science, University of Würzburg, Germany

    Martin V. Butz

  2. University of Illinois at Urbana-Champaign Prediction Dynamics, 01742, Concord, MA

    Stewart W. Wilson

Authors
  1. Martin V. Butz
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  2. Stewart W. Wilson
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Editor information

Editors and Affiliations

  1. Politecnico di Milano Dipartimento di Elettronica e Informazione, Artificial Intelligence and Robotics Laboratory, Piazza Leonardo da Vinci 32, 20133, Milan, Italy

    Pier Luca Lanzi

  2. DaimlerChrysler AG Research and Technology,Cognition and Robotics, Alt-Moabit 96A, 10559, Berlin, Germany

    Wolfgang Stolzmann

  3. Prediction Dynamics, Concord, MA 01742, USA

    Stewart W. Wilson

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© 2001 Springer-Verlag Berlin Heidelberg

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Butz, M.V., Wilson, S.W. (2001). An Algorithmic Description of XCS. In: Luca Lanzi, P., Stolzmann, W., Wilson, S.W. (eds) Advances in Learning Classifier Systems. IWLCS 2000. Lecture Notes in Computer Science(), vol 1996. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44640-0_15

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  • DOI: https://doi.org/10.1007/3-540-44640-0_15

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42437-6

  • Online ISBN: 978-3-540-44640-8

  • eBook Packages: Springer Book Archive

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