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UC Merced Proceedings of the Annual Meeting of the Cognitive Science Society Title Classical conditioning via inference over observable situation contexts Publication Date Classical conditioning via inference over observable situation contexts
2014
Proceedings of the Annual Meeting of the Cognitive Science Society
unpublished
In this paper, we demonstrate that predicting stimulus co-occurrence patterns in a Bayes-optimal manner endogenously explains classical conditioning. Simulated experiments with a standard Bayesian implementation of this model show that it is capable of explaining a broader range of effects than any previous theory of classical conditioning. By simplifying the mathematical structure of statistical modelling of conditioning and demonstrating its ability to explain a large set of experimentally
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