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4. IWLCS 2000: Paris, France
- Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson:
Advances in Learning Classifier Systems, Third International Workshop, IWLCS 2000, Paris, France, September 15-16, 2000, Revised Papers. Lecture Notes in Computer Science 1996, Springer 2001, ISBN 3-540-42437-7
Theory
- Eric B. Baum
, Igor Durdanovic:
An Artificial Economy of Post Production Systems. 3-20 - Larry Bull:
Simple Markov Models of the Genetic Algorithm in Classifier Systems: Accuracy-Based Fitness. 21-28 - Larry Bull:
Simple Markov Models of the Genetic Algorithm in Classifier Systems: Multi-step Tasks. 29-36 - Martin V. Butz, David E. Goldberg, Wolfgang Stolzmann:
Probability-Enhanced Predictions in the Anticipatory Classifier System. 37-51 - Pierre Gérard, Olivier Sigaud:
YACS: Combining Dynamic Programming with Generalization in Classifier Systems. 52-69 - Jacob Hurst, Larry Bull:
A Self-Adaptive Classifier System. 70-79 - Tim Kovacs, Manfred Kerber:
What Makes a Problem Hard for XCS? 80-102
Applications
- John H. Holmes:
Applying a Learning Classifier System to Mining Explanatory and Predictive Models from a Large Clinical Database. 103-113 - Sonia Schulenburg, Peter Ross:
Strength and Money: An LCS Approach to Increasing Returns. 114-137 - Olivier Sigaud, Pierre Gérard:
Using Classifier Systems as Adaptive Expert Systems for Control. 138-157 - Stewart W. Wilson:
Mining Oblique Data with XCS. 158-176
Advanced Architectures
- Tiago Sepúlveda, Mário Rui Gomes:
A Study on the Evolution of Learning Classifier Systems. 177-191 - Keiki Takadama, Takao Terano, Katsunori Shimohara:
Learning Classifier Systems Meet Multiagent Environments. 192-212
The Bibliography
- Tim Kovacs, Pier Luca Lanzi
A Bigger Learning Classifier Systems Bibliography. 213-252
Appendix
- Martin V. Butz, Stewart W. Wilson:
An Algorithmic Description of XCS. 253-272
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