Project description
Identifying how the mind approximates Bayesian models
Bayesian explanations have spread through the field of cognitive science to explain behaviour in various domains – from intuitive physics and causal learning to perception, motor control and language. Nevertheless, people produce stunningly incorrect answers to even the simplest questions about probabilities. A potential resolution to this paradox is that the mind approximates Bayesian solutions by drawing samples, but how it does so remains unknown. The EU-funded SAMPLING project will first identify the algorithms used by the mind to draw samples. Next, it will demonstrate how these sampling algorithms generate classic probabilistic reasoning errors in individuals, upending the longstanding consensus on these effects. Finally, it will use this approach to provide a new perspective on group decision-making.
Fields of science
Programme(s)
Funding Scheme
ERC-COG - Consolidator Grant
Host institution
CV4 8UW Coventry
United Kingdom
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Beneficiaries (1)
CV4 8UW Coventry
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