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A Corporate XCS

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Book cover Learning Classifier Systems (IWLCS 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1813))

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Abstract

Previously we have applied rule linkage to ZCS and shown that the resultant system demonstrates performance improvements over ZCS in a series of sequential tasks, particularly tasks which present ambiguous stimuli to the system. In this paper we show that similar benefits can be gained by applying rule linkage to the more complex XCS. We then show that the benefits of rule-linkage can be increased by further XCS specific modifications to the system’s rule-linkage mechanisms.

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References

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Author information

Authors and Affiliations

  1. Intelligent Computer Systems Centre, University of the West of England, Bristol, BS16 1QY, UK

    Andy Tomlinson & Larry Bull

Authors
  1. Andy Tomlinson
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  2. Larry Bull
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Editor information

Editors and Affiliations

  1. Dipartimento di Elettronica ed Informatzione, Politecnico di Milano, Piazza Leonardo da Vinci n. 32, 20133, Milano, Italy

    Pier Luca Lanzi

  2. Institut für Psychologie III, Universität Würzburg, Röntgenring 11, 97070, Würzburg, Germany

    Wolfgang Stolzmann

  3. Prediction Dynamics, Concord, MA, 01742, USA

    Stewart W. Wilson

  4. Department of General Engineering, University of Illinois at Urbana-Champaign, USA

    Stewart W. Wilson

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© 2000 Springer-Verlag Berlin Heidelberg

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Tomlinson, A., Bull, L. (2000). A Corporate XCS. In: Lanzi, P.L., Stolzmann, W., Wilson, S.W. (eds) Learning Classifier Systems. IWLCS 1999. Lecture Notes in Computer Science(), vol 1813. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45027-0_10

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  • DOI: https://doi.org/10.1007/3-540-45027-0_10

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67729-1

  • Online ISBN: 978-3-540-45027-6

  • eBook Packages: Springer Book Archive

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