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Lecture Notes in Artificial Intelligence

Learning Classifier Systems

5th International Workshop, IWLCS 2002, Granada, Spain, September 7-8, 2002, Revised Papers

Editors: Lanzi, Pier Luca, Stolzmann, Wolfgang, Wilson, Stewart W. (Eds.)

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About this book

The 5th International Workshop on Learning Classi?er Systems (IWLCS2002) was held September 7–8, 2002, in Granada, Spain, during the 7th International Conference on Parallel Problem Solving from Nature (PPSN VII). We have included in this volume revised and extended versions of the papers presented at the workshop. In the ?rst paper, Browne introduces a new model of learning classi?er system, iLCS, and tests it on the Wisconsin Breast Cancer classi?cation problem. Dixon et al. present an algorithm for reducing the solutions evolved by the classi?er system XCS, so as to produce a small set of readily understandable rules. Enee and Barbaroux take a close look at Pittsburgh-style classi?er systems, focusing on the multi-agent problem known as El-farol. Holmes and Bilker investigate the effect that various types of missing data have on the classi?cation performance of learning classi?er systems. The two papers by Kovacs deal with an important theoretical issue in learning classi?er systems: the use of accuracy-based ?tness as opposed to the more traditional strength-based ?tness. In the ?rst paper, Kovacs introduces a strength-based version of XCS, called SB-XCS. The original XCS and the new SB-XCS are compared in the second paper, where - vacs discusses the different classes of solutions that XCS and SB-XCS tend to evolve.

Table of contents (11 chapters)

Table of contents (11 chapters)
  • Balancing Specificity and Generality in a Panmictic-Based Rule-Discovery Learning Classifier System

    Pages 1-19

    Browne, William N. L.

  • A Ruleset Reduction Algorithm for the XCS Learning Classifier System

    Pages 20-29

    Dixon, Phillip William (et al.)

  • Adapted Pittsburgh-Style Classifier-System: Case-Study

    Pages 30-45

    Enée, Gilles (et al.)

  • The Effect of Missing Data on Learning Classifier System Learning Rate and Classification Performance

    Pages 46-60

    Holmes, John H. (et al.)

  • XCS’s Strength-Based Twin: Part I

    Pages 61-80

    Kovacs, Tim

Buy this book

eBook $74.99
price for USA in USD (gross)
  • ISBN 978-3-540-40029-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.00
price for USA in USD
  • ISBN 978-3-540-20544-9
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Learning Classifier Systems
Book Subtitle
5th International Workshop, IWLCS 2002, Granada, Spain, September 7-8, 2002, Revised Papers
Editors
  • Pier Luca Lanzi
  • Wolfgang Stolzmann
  • Stewart W. Wilson
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
2661
Copyright
2003
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-40029-5
DOI
10.1007/b94229
Softcover ISBN
978-3-540-20544-9
Edition Number
1
Number of Pages
VII, 233
Topics

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