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Michael Rescorla specializes in the philosophy of mind, logic, epistemology, and language, with a focus on the nature of mental representation. His research draws from cognitive science, computability theory, and probability theory to explore topics such as non-propositional mental representation, computational theories of the mind, and Bayesian decision theory. He investigates the structure of epistemic justification and norms of assertion while applying Bayesian modeling to cognitive processes like perception and motor control. Rescorla's notable publications include his forthcoming book on Bayesian models of the mind and articles in prestigious journals discussing topics like iterated conditionalization and Bayesian defeat certainties. His multidisciplinary approach positions him at the intersection of philosophy and cognitive science, contributing significantly to our understanding of representation, computation, and epistemology.
Department of Economics admits primarily for the PhD program.