Foundations of Learning Classifier Systems

Foundations of Learning Classifier Systems: An Introduction
Bull & Kovacs

Rule Discovery

Population Dynamics of Genetic Algorithms
Rowe

Approximating Value Functions in Classifier Systems
Booker

Two Simple Learning Classifier Systems
Bull

Computational Complexity of the XCS Classifier System
Butz et al.

An Analysis of Continuous-Valued Representations for Learning Classifier Systems
Stone & Bull

Credit Assignment

Reinforcement Learning: A Brief Overview
Wyatt

A Mathematical Framework for Studying Learning in Classifier Systems
Holland

Rule Fitness and Pathology in Learning Classifier Systems
Kovacs

Learning Classifier Systems: A Reinforcement Learning Perspective
Lanzi

Learning Classifier Systems with Convergence and Generalization
Wada et al.

Problem Characterization

On the Classification of Maze Problems
Bagnall & Zatuchna

What makes a Problem Hard?
Kovacs & Kerber




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