Advances in Learning Classifier Systems

Chapter 1 Biasing Exploration in an Anticipatory Learning Classifier System

Chapter 2 An Incremental Multiplexer Problem and Its Uses in Classifier System Research

Chapter 3 A Minimal Model of Communication for a Multi-agent Classifier System

Chapter 4 A Representation for Accuracy-Based Assessment of Classifier System Prediction Performance

Chapter 5 A Self-Adaptive XCS

Chapter 6 Two Views of Classifier Systems

Chapter 7 Social Simulation Using a Multi-agent Model Based on Classifier Systems: The Emergence of Vacillating Behaviour in the “El Farol” Bar Problem

Chapter 8 Advances in Learning Classifier Systems

Chapter 9 A Preliminary Investigation of Modified XCS as a Generic Data Mining Tool

Chapter 10 Explorations in LCS Models of Stock Trading

Chapter 11 On-Line Approach for Loss Reduction in Electric Power Distribution Networks Using Learning Classifier Systems

Chapter 12 Compact Rulesets from XCSI

Chapter 13 An Algorithmic Description of ACS2