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The Bayesian Sampler: Generic Bayesian Inference Causes Incoherence in Human Probability Judgments

2018-11-28

Abstract excerpt

<p>Human probability judgments are systematically biased, in apparent tension with Bayesian models of cognition. But perhaps the brain does not represent probabilities explicitly, but approximates probabilistic calculations through a process of sampling, as used in computational probabilistic models in statistics. Naïve probability estimates can be obtained by calculating the relative frequency of an event within...

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Literature Corpus work
6577ddc8-eb2a-57d0-9062-eeaa99564c79
DOI
10.31234/osf.io/af9vy
Open publication

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The Bayesian Sampler: Generic Bayesian Inference Causes Incoherence in Human Probability JudgmentsDOI 10.31234/osf.io/af9vy
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