Probabilistic Models of Cognition

4 credits

(Same as PSYC 232.) Computational theories of human cognition, particularly Bayesian approaches. Techniques may include directed graphical models; hierarchical models; nonparametric models; probabilistic programming languages. Topics may include decision making; perception; causal reasoning; categorization; language. Recommended preparation: previous experience with statistics, machine learning, and/or functional programming helpful.