29 March 1988 Boolean Function Learning With A Classifier System
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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.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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); doi: 10.1117/12.946983; https://doi.org/10.1117/12.946983
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