Advances in Learning Classifier Systems 4th International Workshop, IWLCS 2001, San Francisco, CA, USA, July 7-8, 2001. Revised Papers /
Advances in Learning Classifier Systems 4th International Workshop, IWLCS 2001, San Francisco, CA, USA, July 7-8, 2001. Revised Papers / [electronic resource] :
edited by Pier L. Lanzi, Wolfgang Stolzmann, Stewart W. Wilson.
- 1st ed. 2002.
- VIII, 236 p. online resource.
- Lecture Notes in Artificial Intelligence, 2321 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 2321 .
Theory -- Biasing Exploration in an Anticipatory Learning Classifier System -- An Incremental Multiplexer Problem and Its Uses in Classifier System Research -- A Minimal Model of Communication for a Multi-agent Classifier System -- A Representation for Accuracy-Based Assessment of Classifier System Prediction Performance -- A Self-Adaptive XCS -- Two Views of Classifier Systems -- Social Simulation Using a Multi-agent Model Based on Classifier Systems: The Emergence of Vacillating Behaviour in the “El Farol” Bar Problem -- Applications -- XCS and GALE: A Comparative Study of Two Learning Classifier Systems on Data Mining -- A Preliminary Investigation of Modified XCS as a Generic Data Mining Tool -- Explorations in LCS Models of Stock Trading -- On-Line Approach for Loss Reduction in Electric Power Distribution Networks Using Learning Classifier Systems -- Compact Rulesets from XCSI -- An Algorithmic Description of ACS2.
9783540481041
10.1007/3-540-48104-4 doi
Artificial intelligence.
Social sciences.
Humanities.
Machine theory.
Computer science.
Artificial Intelligence.
Humanities and Social Sciences.
Formal Languages and Automata Theory.
Theory of Computation.
Q334-342 TA347.A78
006.3
Theory -- Biasing Exploration in an Anticipatory Learning Classifier System -- An Incremental Multiplexer Problem and Its Uses in Classifier System Research -- A Minimal Model of Communication for a Multi-agent Classifier System -- A Representation for Accuracy-Based Assessment of Classifier System Prediction Performance -- A Self-Adaptive XCS -- Two Views of Classifier Systems -- Social Simulation Using a Multi-agent Model Based on Classifier Systems: The Emergence of Vacillating Behaviour in the “El Farol” Bar Problem -- Applications -- XCS and GALE: A Comparative Study of Two Learning Classifier Systems on Data Mining -- A Preliminary Investigation of Modified XCS as a Generic Data Mining Tool -- Explorations in LCS Models of Stock Trading -- On-Line Approach for Loss Reduction in Electric Power Distribution Networks Using Learning Classifier Systems -- Compact Rulesets from XCSI -- An Algorithmic Description of ACS2.
9783540481041
10.1007/3-540-48104-4 doi
Artificial intelligence.
Social sciences.
Humanities.
Machine theory.
Computer science.
Artificial Intelligence.
Humanities and Social Sciences.
Formal Languages and Automata Theory.
Theory of Computation.
Q334-342 TA347.A78
006.3