Bayesian inference with incomplete knowledge explains perceptual confidence and its deviations from accuracy

A Bayesian framework based on partially observable Markov decision processes (POMDPs) not only predicts subjects’ confidence in a perceptual decision making task but also explains well-known discrepancies between confidence and choice accuracy as arising from incomplete knowledge of the environment....

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Autores principales: Koosha Khalvati, Roozbeh Kiani, Rajesh P. N. Rao
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/6022b29c2e3c48b6af4bb8f3daced477
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