Foundations of Learning Classifier Systems

By Larry Bull

Section 1 - Rule Discovery. Population Dynamics of Genetic Algorithms. Approximating Value Functions in Classifier Systems. Two Simple Learning Classifier Systems. Computational Complexity of the XCS Classifier System. An Analysis of Continuous-Valued Representations for Learning Classifier Systems.- Section 2 - Credit Assignment. Reinforcement Learning: a Brief Overview. A Mathematical Framework for Studying Learning Classifier Systems. Rule Fitness and Pathology in Learning Classifier Systems. Learning Classifier Systems: A Reinforcement Learning Perspective. Learning Classifier Systems with Convergence and Generalization.- Section 3 - Problem Characterization. On the Classification of Maze Problems. What Makes a Problem Hard?

• Format: Paperback
• Language: English
• ISBN: 3642064132
• ISBN13: 9783642064135
• Release Date: November 2010
• Publisher: Springer
• Length: 336 Pages
• Weight: 1.06 lbs.
• Dimensions: 0.7" x 6.1" x 9.2"