Nature Communications (Sep 2021)

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

  • Koosha Khalvati,
  • Roozbeh Kiani,
  • Rajesh P. N. Rao

DOI
https://doi.org/10.1038/s41467-021-25419-4
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 16

Abstract

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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.