Item description for Rule-Based Evolutionary Online Learning Systems: A Principled Approach to LCS Analysis and Design (Studies in Fuzziness and Soft Computing) by Martin V. Butz...
This book offers a comprehensive introduction to learning classifier systems (LCS) -- or more generally, rule-based evolutionary online learning systems. LCSs learn interactively -- much like a neural network -- but with an increased adaptivity and flexibility. This book provides the necessary background knowledge on problem types, genetic algorithms, and reinforcement learning as well as a principled, modular analysis approach to understand, analyze, and design LCSs. The analysis is exemplarily carried through on the XCS classifier system -- the currently most prominent system in LCS research. Several enhancements are introduced to XCS and evaluated. An application suite is provided including classification, reinforcement learning and data-mining problems. Reconsidering John Holland's original vision, the book finally discusses the current potentials of LCSs for successful applications in cognitive science and related areas.
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Est. Packaging Dimensions: Length: 9.4" Width: 6.3" Height: 0.9" Weight: 1.15 lbs.
Release Date Dec 22, 2005
ISBN 3540253793 ISBN13 9783540253792
Availability 113 units. Availability accurate as of May 30, 2017 01:43.
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