More than 1,900 Springer Protocols eBooks at just $9.99 each! Get yours 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 (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 $109.00
price for USA
  • 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 (5 chapters)

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

    Pier Luca Lanzi, Rick L. Riolo

    Pages 33-61

  • An Introduction to Learning Fuzzy Classifier Systems

    Andrea Bonarini

    Pages 83-104

  • An Introduction to Anticipatory Classifier Systems

    Wolfgang Stolzmann

    Pages 175-194

  • Get Real! XCS with Continuous-Valued Inputs

    Stewart W. Wilson

    Pages 209-219

  • An Adaptive Agent Based Economic Model

    Sonia Schulenburg, Peter Ross

    Pages 263-282

Buy this book

eBook $79.99
price for USA (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 $109.00
price for USA
  • 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