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

oleh: Koosha Khalvati, Roozbeh Kiani, Rajesh P. N. Rao

Format: Article
Diterbitkan: Nature Portfolio 2021-09-01

Deskripsi

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.