Shop the Archives and get your next eBook for just 14.99! Stock up today >>

Lecture Notes in Artificial Intelligence

Learning Classifier Systems

From Foundations to Applications

Editors: Lanzi, Pier L., Stolzmann, Wolfgang, Wilson, Stewart W. (Eds.)

Buy this book

eBook $79.99
price for USA in USD (gross)
  • ISBN 978-3-540-45027-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.99
price for USA in USD
  • ISBN 978-3-540-67729-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Learning Classifier Systems (LCS) are a machine learning paradigm introduced by John Holland in 1976. They are rule-based systems in which learning is viewed as a process of ongoing adaptation to a partially unknown environment through genetic algorithms and temporal difference learning. This book provides a unique survey of the current state of the art of LCS and highlights some of the most promising research directions. The first part presents various views of leading people on what learning classifier systems are. The second part is devoted to advanced topics of current interest, including alternative representations, methods for evaluating rule utility, and extensions to existing classifier system models. The final part is dedicated to promising applications in areas like data mining, medical data analysis, economic trading agents, aircraft maneuvering, and autonomous robotics. An appendix comprising 467 entries provides a comprehensive LCS bibliography.

Table of contents (17 chapters)

  • What Is a Learning Classifier System?

    Holland, John H. (et al.)

    Pages 3-32

  • A Roadmap to the Last Decade of Learning Classifier System Research (From 1989 to 1999)

    Lanzi, Pier Luca (et al.)

    Pages 33-61

  • State of XCS Classifier System Research

    Wilson, Stewart W.

    Pages 63-81

  • An Introduction to Learning Fuzzy Classifier Systems

    Bonarini, Andrea

    Pages 83-104

  • Fuzzy and Crisp Representations of Real-Valued Input for Learning Classifier Systems

    Bonarini, Andrea (et al.)

    Pages 107-124

Buy this book

eBook $79.99
price for USA in USD (gross)
  • ISBN 978-3-540-45027-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.99
price for USA in USD
  • ISBN 978-3-540-67729-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Learning Classifier Systems
Book Subtitle
From Foundations to Applications
Editors
  • Pier L. Lanzi
  • Wolfgang Stolzmann
  • Stewart W. Wilson
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
1813
Copyright
2000
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-45027-6
DOI
10.1007/3-540-45027-0
Softcover ISBN
978-3-540-67729-1
Edition Number
1
Number of Pages
X, 354
Topics