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ORCIDIWLCS 2001: San Francisco, CA, USA
- Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson:
Advances in Learning Classifier Systems, 4th International Workshop, IWLCS 2001, San Francisco, CA, USA, July 7-8, 2001, Revised Papers. Lecture Notes in Computer Science 2321, Springer 2002, ISBN 3-540-43793-2
I Theory
- Martin V. Butz:
Biasing Exploration in an Anticipatory Learning Classifier System. 3-22 - Lawrence Davis, Chunsheng Fu, Stewart W. Wilson:
An Incremental Multiplexer Problem and Its Uses in Classifier System Research. 23-31 - Gilles Énée
, Cathy Escazut:
A Minimal Model of Communication for a Multi-agent Classifier System. 32-42 - John H. Holmes:
A Representation for Accuracy-Based Assessment of Classifier System Prediction Performance. 43-56 - Jacob Hurst, Larry Bull:
A Self-Adaptive XCS. 57-73 - Tim Kovacs:
Two Views of Classifier Systems. 74-87 - Luis Miramontes Hercog, Terence C. Fogarty:
Social Simulation Using a Multi-agent Model Based on Classifier Systems: The Emergence of Vacillating Behaviour in the "El Farol" Bar Problem. 88-114
II Applications
- Ester Bernadó i Mansilla, Xavier Llorà, Josep Maria Garrell i Guiu:
XCS and GALE: A Comparative Study of Two Learning Classifier Systems on Data Mining. 115-132 - Phillip William Dixon, David Corne, Martin J. Oates:
A Preliminary Investigation of Modified XCS as a Generic Data Mining Tool. 133-150 - Sonia Schulenburg, Peter Ross:
Explorations in LCS Models of Stock Trading. 151-180 - Patrícia Amâncio Vargas, Christiano Lyra Filho, Fernando J. Von Zuben:
On-Line Approach for Loss Reduction in Electric Power Distribution Networks Using Learning Classifier Systems. 181-196 - Stewart W. Wilson:
Compact Rulesets from XCSI. 197-210
III Appendix
- Martin V. Butz, Wolfgang Stolzmann:
An Algorithmic Description of ACS2. 211-230
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