Advances in Learning Classifier Systems: Third International Workshop, IWLCS 2000 Paris, France, September 15–16, 2000 Revised PapersAuthor: Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson Published by Springer Berlin Heidelberg ISBN: 978-3-540-42437-6 DOI: 10.1007/3-540-44640-0Table of Contents: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? 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 A Study on the Evolution of Learning Classifier Systems Learning Classifier Systems Meet Multiagent Environments A Bigger Learning Classifier Systems Bibliography An Algorithmic Description of XCS, Includes bibliographical references and index