ERC Consolidator Grant · 2018
Searching for the Approximation Method used to Perform rationaL inference by INdividuals and Groups
Over the past two decades, a wave of Bayesian explanations has swept through cognitive science, explaining behaviour in domains from intuitive physics and causal learning, to perception, motor control and language. Yet people produce stunningly incorrect answers in response to even the simplest questions about probabilities. How can a supposedly Bayesian brain paradoxically reason so poorly with probabilities? Perhaps Bayesian brains do not represent or calculate probabilities at all and are, indeed, poorly adapted to do so. Instead the brain could be approximating Bayesian inference through sampling: drawing samples from its distribution over likely hypotheses over time. This work aims to…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.