Foundations of Learning Classifier Systems: An Introduction

Bull Larry, Tim Kovacs

Research output: Chapter in Book/Report/Conference proceedingChapter in a book

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.
Translated title of the contributionFoundations of Learning Classifier Systems: An Introduction
Original languageEnglish
Title of host publicationFoundations of Learning Classifier Systems
PublisherSpringer
Volume183
ISBN (Print)3540250735
Publication statusPublished - 2005

Bibliographical note

Other page information: 1-17
Other identifier: 2000416

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