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Foundations of Learning Classifier Systems

Foundations of Learning Classifier Systems

Paperback

Series: Studies in Fuzziness and Soft Computing, Book 183

BiologyGeneral ComputersGeneral Mathematics

ISBN10: 3642064132
ISBN13: 9783642064135
Publisher: Springer Nature
Published: Nov 25 2010
Pages: 336
Weight: 1.06
Height: 0.72 Width: 6.14 Depth: 9.21
Language: English
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?

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