Past Event

The Cognition and Decision Seminar Series presents Adam Sanbor

March 28, 2019
4:15 PM - 5:30 PM
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Jerome L. Greene Science Center, 3227 Broadway, New York, NY 10027 9th Floor
Dr. Adam Sanborn Associate Professor of Psychology University of Warwick Bayesian Brains Without Probabilities Over the past two decades, a wave of Bayesian explanations has swept through cognitive science, explaining behavior 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 of likely hypotheses over time. Only with infinite samples does a Bayesian sampler conform to the laws of probability, and in this talk I show how reasoning with a finite number of samples systematically generates classic probabilistic reasoning errors in individuals, upending the longstanding consensus on these effects. I then present work testing whether people sample when producing numeric estimates, and discuss what kind of sampling algorithm the brain might be using. Thursday March 28th 4:15-5:30 PM Jerome L. Greene Science Center, 9th floor Lecture Hall Directions: All attendees must register using the sign up link below in order to gain access to the Jerome L. Greene Science Center.

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