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Foundations of Learning Classifier Systems: An Introduction

Larry Bull, Tim Kovacs, Foundations of Learning Classifier Systems: An Introduction. Chapter in Foundations of Learning Classifier Systems. ISBN 3-540-25073-5, pp. 1–17. June 2005. No electronic version available.

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.

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