Advances in Learning Classifier Systems

Third International Workshop, IWLCS 2000, Paris, France, September 15-16, 2000. Revised Papers

AvPier L. Lanzi,Wolfgang Stolzmann

Häftad, Engelska, 2001

Del i serien Lecture Notes in Computer Science

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Beskrivning

This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Learning Classifier Systems, IWLCS 2000, held in Paris, France in September 2000. The 13 revised full papers presented have gone through two rounds of reviewing and selection. Also included is a comprehensive LCS bibliography listing more than 600 entries as well as an appendix. The papers are organized in topical sections on theory, applications, and advanced architectures.

Produktinformation

Utgivningsdatum:2001-08-29
Mått:155 x 235 x 16 mm
Vikt:441 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:280
Upplaga:2001
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783540424376

Utforska kategorier

Systemvetenskap och AI inom Data och IT

Innehållsförteckning

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.