Advances in Learning Classifier Systems 4th International Workshop, IWLCS 2001, San Francisco, CA, USA, July 7-8, 2001. Revised Papers

Name: Advances in Learning Classifier Systems 4th International Workshop, IWLCS 2001, San Francisco, CA, USA, July 7-8, 2001. Revised Papers
Price: 55.74 USD
Availability: InStock
ISBN: 9783540437932

ISBN-10: 3540437932

ISBN-13: 9783540437932

Edition: 2002

Authors: Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson

List price: $54.99

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Description:

This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Learning Classifier Systems, IWLCS 2001, held in San Francisco, CA, USA, in July 2001.The 12 revised full papers presented together with a special paper on a formal description of ACS have gone through two rounds of reviewing and improvement. The first part of the book is devoted to theoretical issues of learning classifier systems including the influence of exploration strategy, self-adaptive classifier systems, and the use of classifier systems for social simulation. The second part is devoted to applications in various fields such as data mining, stock trading, and power distributionn…

Book details

List price: $54.99
Copyright year: 2002
Publisher: Springer Berlin / Heidelberg
Publication date: 6/12/2002
Binding: Paperback
Pages: 236
Size: 6.10" wide x 9.17" long x 5.00" tall
Weight: 1.694
Language: English

Stewart W. Wilson is a scientist at The Rowland Institute for Science, Cambridge, Massachusetts.




Theory


Biasing Exploration in an Anticipatory Learning Classifier System



An Incremental Multiplexer Problem and Its Uses in Classifier System


Research



A Minimal Model of Communication for a Multi-agent Classifier System



A Representation for Accuracy-Based Assessment of Classifier System


Prediction Performance



A Self-Adaptive XCS



Two Views of Classifier Systems



Social Simulation Using a Multi-agent Model Based on Classifier Systems: The Emergence of Vacillating Behaviour in the ï¿½El Farolï¿½ Bar Problem




Applications


XCS and GALE: A Comparative Study of Two Learning Classifier Systems on Data Mining



A Preliminary Investigation of Modified XCS as a Generic Data Mining Tool



Explorations in LCS Models of Stock Trading



On-Line Approach for Loss Reduction in Electric Power Distribution Networks Using Learning Classifier Systems



Compact Rulesets from XCSI




Appendix


An Algorithmic Description of ACS2



Author Index