Advances in Learning Classifier Systems 4th International Workshop, IWLCS 2001, San Francisco, CA, USA, July 7-8, 2001. Revised Papers /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Lanzi, Pier L. (Editor, http://id.loc.gov/vocabulary/relators/edt), Stolzmann, Wolfgang (Editor, http://id.loc.gov/vocabulary/relators/edt), Wilson, Stewart W. (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2002.
• Edition: 1st ed. 2002.
• Series: Lecture Notes in Artificial Intelligence ; 2321
• Subjects: Artificial intelligence.; Mathematical logic.; Computers.; Artificial Intelligence.; Science, Humanities and Social Sciences, multidisciplinary.; Mathematical Logic and Formal Languages.; Computation by Abstract Devices.

Table of Contents:

• 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.