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Studies in Fuzziness and Soft Computing

Rule-Based Evolutionary Online Learning Systems

A Principled Approach to LCS Analysis and Design

Authors: Butz, Martin V.

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About this book

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.

Table of contents (2 chapters)

Buy this book

eBook $159.00
price for USA (gross)
  • ISBN 978-3-540-31231-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $209.00
price for USA
  • ISBN 978-3-540-25379-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $209.00
price for USA
  • ISBN 978-3-642-06477-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Rule-Based Evolutionary Online Learning Systems
Book Subtitle
A Principled Approach to LCS Analysis and Design
Authors
Series Title
Studies in Fuzziness and Soft Computing
Series Volume
191
Copyright
2006
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
The Editor(s) (if applicable) and The Author(s) 2018
eBook ISBN
978-3-540-31231-4
DOI
10.1007/b104669
Hardcover ISBN
978-3-540-25379-2
Softcover ISBN
978-3-642-06477-7
Series ISSN
1434-9922
Edition Number
1
Number of Pages
XXI, 259
Topics