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

• Corporate Author: SpringerLink (Online service)
• Other Authors: Lanzi, Pier L. (Editor, http://id.loc.gov/vocabulary/relators/edt), Stolzmann, Wolfgang (Editor, http://id.loc.gov/vocabulary/relators/edt), Wilson, Stewart W. (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001.
• Edition: 1st ed. 2001.
• Series: Lecture Notes in Artificial Intelligence ; 1996
• Subjects: Artificial intelligence.; Computers.; Mathematical logic.; Artificial Intelligence.; Theory of Computation.; Mathematical Logic and Formal Languages.; Computation by Abstract Devices.

Learning classi er systems are rule-based systems that exploit evolutionary c- putation and reinforcement learning to solve di cult problems. They were - troduced in 1978 by John H. Holland, the father of genetic algorithms, and since then they have been applied to domains as diverse as autonomous r...

Table of Contents:

• 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.