Foundations of Learning Classifier Systems: An Introduction

Abstract

[Learning] Classifier systems are a kind of rule-based system with general mechanisms for processing rules in parallel, for adaptive generation of new rules, and for testing the effectiveness of existing rules. These mechanisms make possible performance and learning without the “brittleness” characteristic of most expert systems in AI.