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City Washington / DC / Cambridge / Chichester / Hillsdale / Boston / Malden / New York / / Company Prentice-Hall / Artificial Neural Networks / MIT Press / IEEE Authorized / Authorized / / Country United Kingdom / / Currency USD / / / Facility University of Saskatchewan / University of Alberta / / IndustryTerm operant network / adaptive networks / neural network / genetic algorithm / pursuit algorithm / machine learning algorithm / quantitative law / strict matching law / neural networks / genetic algorithms / operant networks / evolutionary algorithm / / MarketIndex set 40 / / Organization MIT / Cambridge Univ. / Department of Psychology / University of Alberta / Harvard Univ. / University of Saskatchewan / / Person Debbie M. Kelly / M. Kelly Abstract / Cybern / Marcia L. Spetch / Michael R. W. Dawson / Brian Dupuis / / Position economist / external controller / probabilistic model for information storage / Rescorla-Wagner model / ” J. Math / / ProvinceOrState New Jersey / New York / / Technology neural network / evolutionary algorithm / machine learning algorithm / pursuit algorithm / genetic algorithm / machine learning / simulation / Digital Object Identifier / /
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1368 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 20, NO. 8, AUGUST 2009 Simple Artificial Neural Networks That Match Probability and Exploit and Explore When Confronting