Boolean Function Learning With A Classifier System

A. Homaifar; D. E. Goldberg; C. C. Carroll

doi:10.1117/12.946983

29 March 1988 Boolean Function Learning With A Classifier System

A. Homaifar, D. E. Goldberg, C. C. Carroll

Proceedings Volume 0937, Applications of Artificial Intelligence VI; (1988) https://doi.org/10.1117/12.946983
Event: 1988 Technical Symposium on Optics, Electro-Optics, and Sensors, 1988, Orlando, FL, United States

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.

Citation Download Citation

A. Homaifar, D. E. Goldberg, and C. C. Carroll "Boolean Function Learning With A Classifier System", Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); https://doi.org/10.1117/12.946983

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