ISBN: 3-540-67729-1
TITLE: Learning Classifier Systems
AUTHOR: Lanzi, Pier L.; Stolzmann, Wolfgang; Wilson, Stewart W. (Eds.)
TOC:

I Basics
What Is a Learning Classifier System? 3
J.H. Holland, Lashon B. Booker, Marco Colombetti, Marco Dorigo, David E. Goldberg, Stephanie Forrest, Rick L. Riolo, Robert E. Smith, Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson
A Roadmap to the Last Decade of Learning Classifier System Research 33
Pier Luca Lanzi, Rick L. Riolo
State of XCS Classifier System Research 63
Stewart W. Wilson
An Introduction to Learning Fuzzy Classifier Systems 83
Andrea Bonarini
II Advanced Topics
Fuzzy and Crisp Representations of Real-valued Input for Learning Classifier Systems 107
Andrea Bonarini, Claudio Bonacina, Matteo Matteucci
Do We Really Need to Estimate Rule Utilities in Classifier Systems? 125
Lashon B. Booker
Strength or Accuracy? Fitness calculation in learning classifier systems 143
Tim Kovacs
Non-homogeneous Classifier Systems in a Macro-evolution Process 161
Claude Lattaud
An Introduction to Anticipatory Classifier Systems 175
Wolfgang Stolzmann
A Corporate XCS 195
Andy Tomlinson, Larry Bull
Get Real! XCS with Continuous-Valued Inputs 209
Stewart W. Wilson
III Applications
XCS and the Monk's Problems 223
Shaun Saxon, Alwyn Barry
Learning Classifier Systems Applied to Knowledge Discovery in Clinical Research Databases 243
John H. Holmes
An Adaptive Agent Based Economic Model 263
Sonia Schulenburg, Peter Ross
The Fighter Aircraft LCS: A Case of Different LCS Goals and Techniques 283
R. E. Smith, B. A. Dike, B. Ravichandran, A. El-Fallah, R. K. Mehra
Latent Learning and Action Planning in Robots with Anticipatory Classifier Systems 301
Wolfgang Stolzmann, Martin Butz
IV The Bibliography
A Learning Classifier Systems Bibliography 321
Tim Kovacs, Pier Luca Lanzi
Author Index 349
END
