Advances In Learning Classifier Systems学习分类器系统进展

书籍目录

Ⅰ Theory  An Artificial Economy of Post Production Systems  Simple Markov Models of the Genetic Algorithm in Classifier Systems：Accuracy-Based Fitness  Simple Markov Models of the Genetic Algorithm in Classifier Systems：Multi-step Tasks  Probability-Enhanced Predictions in the Anticipatory Classifier System  YACS：Combining Dynamic Programming with Generalization in Classifier Systems  A Self-Adaptive Classifier System  What Makes a Problem Hard for XCS?Ⅱ  Applications  Applying a Learning Classifier System to Mining Explanatory and Predictive Models from a Large Clinical Database  Strength and Money：An LC S Approach to Increasing Returns  Using Classifier Systems as Adaptive Expert Systems for Control  Mining Oblique Data with XCSⅢ Advanced Architectures  A Study on the Evolution of Learning Classifier Systems  Learning Classifier Systems Meet Multiagent EnvironmentsⅣ The Bibliography  A Bigger Learning Classifier Systems BibliographyⅤ Appendix  An Algorithmic Description of XCSAuthor Index

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  This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Learning Classifier Systems, IWLCS 2000, held in Paris, France in September 2000. The 13 revised full papers presented have gone through two rounds of reviewing and selection. Also included is a comprehensive LCS bibliography listing more than 600 entries as well as an appendix. The papers are organized in topical sections on theory, applications, and advanced architectures.

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