Cognitive Models

A foundational principle of cognitive science is that the workings of cognitive systems--whether biological, mechanical, or digital--can be productively represented by the operation of formal computational models. This course provides a survey of popular modeling frameworks (such as Bayesian rational agents, connectionist networks, dynamical systems, etc.), as well as the cognitive phenomena that these models have been used to simulate. We will discuss the theoretical commitments of these models, assess strengths and weaknesses of each framework for addressing different types of cognitive questions, and analyze the implications of these models’ successes and failures for our understanding of the mind.

Cross-lists DATA 20002; LING 20002/30002; PSYC 22002