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NeurIPS 1997

Statistical Models of Conditioning

Conference Paper Artificial Intelligence ยท Machine Learning

Abstract

Conditioning experiments probe the ways that animals make pre(cid: 173) dictions about rewards and punishments and use those predic(cid: 173) tions to control their behavior. One standard model of condition(cid: 173) 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(cid: 173) 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(cid: 173) ing psychological suggestions, and is statistically well-founded.

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Context

Venue
Annual Conference on Neural Information Processing Systems
Archive span
1987-2025
Indexed papers
30776
Paper id
1011544657504556537
v2026.09.13