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Proceedings Paper

Boolean Function Learning With A Classifier System
Author(s): A. Homaifar; D. E. Goldberg; C. C. Carroll
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Paper Abstract

A learning classifier system (LCS) is assigned the task of learning difficult boolean function, a 6-multiplexer. An LCS is a type of production system that learns to generalize and instantiate rules called classifiers in response to intermittent and noisy reinforcement (payoff). This paper presents results similar to Wilson's recent experiments using a champion reinforcement algorithm rather than Wilson's collective scheme. Performance differences are discussed.

Paper Details

Date Published: 29 March 1988
PDF: 9 pages
Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); doi: 10.1117/12.946983
Show Author Affiliations
A. Homaifar, The University of Alabama (United States)
D. E. Goldberg, The University of Alabama (United States)
C. C. Carroll, The University of Alabama (United States)


Published in SPIE Proceedings Vol. 0937:
Applications of Artificial Intelligence VI
Mohan M. Trivedi, Editor(s)

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