CORDIS Project
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This project investigates how the human brain approximates Bayesian inference through sampling, aiming to understand reasoning errors in probability. It explores algorithms that may explain cognitive biases and improve decision-making processes.
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, in…
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