Advances in Learning Classifier Systems: Third International Workshop, IWLCS 2000, Paris, France, September 15-16, 2000. Revised Papers

ISBN-13: 9783540424376 / Angielski / Miękka / 2001 / 280 str.

Pier L. Lanzi;Wolfgang Stolzmann;Stewart W. Wilson

Opis

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.

Spis treści

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?.- Applications.- Applying a Learning Classifier System to Mining Explanatory and Predictive Models from a Large Clinical Database.- Strength and Money: An LCS Approach to Increasing Returns.- Using Classifier Systems as Adaptive Expert Systems for Control.- Mining Oblique Data with XCS.- Advanced Architectures.- A Study on the Evolution of Learning Classifier Systems.- Learning Classifier Systems Meet Multiagent Environments.- The Bibliography.- A Bigger Learning Classifier Systems Bibliography.- An Algorithmic Description of XCS.