Computational Cognitive Science

3 credits · Graduate

This course is an introduction to computational theories of human cognition. Drawing on formal models from classic and contemporary artificial intelligence, we will explore how to simulate human cognition with computer programs. What are the forms that our knowledge of the world takes? What are the computational principles that allow us to learn by combining expectations with observation? How do people make choices when given incomplete information about alternatives? Students will learn how to understand experimental data by applying existing computational models, and building models of their own. CALENDAR NOTES: Experience in programming and statistics is strongly recommended. The course requires math literacy, at the level of being able to read equations.