Advances in learning classifier systems : third international workshop, IWLCS 2000, Paris, France, September 15-16, 2000 : revised papers

Advances in Learning Classifier Systems: Third International Workshop, IWLCS 2000 Paris, France, September 15–16, 2000 Revised Papers
Author: Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-42437-6
DOI: 10.1007/3-540-44640-0

Table 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