Article

Metamers of Bayesian computation

2020-08-12

Abstract excerpt

There are two sharply debated views on how humans make decisions under uncertainty. Bayesian decision theory posits that humans optimize their behavior by establishing and integrating internal models of past sensory experiences (priors) and decision outcomes (cost functions). An alternative model-free hypothesis posits that decisions are optimized through trial and error without explicit internal models for priors...

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Literature Corpus work: 0335bfc1-dcba-5767-9a13-ee1455d58745
DOI: 10.1101/2020.08.11.246355

Open publication

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