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Strength or Accuracy: Credit Assignment in Learning Classifier Systems /

The <EM>Distinguished Dissertations</EM> series is published on behalf of the Conference of Professors and Heads of Computing and the British Computer Society, who annually select the best British PhD dissertations in computer science for publication. The dissertations are selected on be...

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Bibliographic Details
Main Author: Kovacs, Tim
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: London : Springer London : Imprint : Springer, 2004.
Series:Distinguished dissertations.
Subjects:
Computer science.
Computer software.
Artificial intelligence.
Information systems.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Introduction
  • Learning Classifier Systems
  • How Strength and Accuracy Differ
  • What Should a Classifier System Learn?- Prospects for Adaption
  • Classifier Systems and Q-Learning
  • Conclusion
  • Appendices
  • Evaluation of Macroclassifiers
  • Example XCS Cycle
  • Learning from Reinforcement
  • Generalisation Problems
  • Value Estimation Algorithms
  • Generalised Policy Iteration Algorithms
  • Evolutionary Algorithms
  • The Origins of Sarsa
  • Notation
  • References.