Statistical Models of Conditioning

Dayan, P; Long, T

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Statistical Models of Conditioning

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http://papers.nips.cc/paper/1463-statistical-models-of-conditioning.pdf
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Citation

Dayan, P., & Long, T. (1998). Statistical Models of Conditioning. In M. Jordan, M. Kearns, & S. Solla (Eds.), Advances in Neural Information Processing Systems 10 (pp. 117-123). Cambridge, MA, USA: MIT Press.

Cite as: https://hdl.handle.net/21.11116/0000-0005-1A19-3

Abstract

Conditioning experiments probe the ways that animals make pre-dictions about rewards and punishments and use those predic-tions to control their behavior. One standard model of condition-ing paradigms which involve many conditioned stimuli suggests that individual predictions should be added together. Various key results show that this model fails in some circumstances, and mo-tivate an alternative model, in which there is attentional selection between different available stimuli. The new model is a form of mixture of experts, has a close relationship with some other exist-ing psychological suggestions, and is statistically well-founded.