学习分类器系统进展/会议录 Advances in learning classifier systems

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  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 networks.

书籍目录

I  Theory  Biasing Exploration in an Anticipatory Learning Classifier System  An Incremental Multiplexer Problem and Its Uses in Classifier Systen 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 "El Farol" Bar ProblemII  Applications  XCS and GALE: A Comparative Study of Two Learning Classifier System on Data Mining  A Preliminary Investigation of Modified XCS as a Generic Data Minin 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 XCSIIII Appendix  An Algorithmic Description of ACS2Author Index

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