CMSI 432 Cognitive Systems Design

3 semester hours

Topics at the intersection of cognitive psychology, experimental design, and machine learning, through an examination of the tools that automate how intelligent agents (both human and artificial) react to, learn from, and otherwise reason about their environments. Causal formalizations for higher cognitive processes surrounding the distinction between associational, causal, and counterfactual quantities. Automation of aspects of human and animalistic reasoning by employing modern tools from reinforcement and causal learning, including: Structural Causal Models, Multi-armed Bandit Agents, Markov Decision Processes, and approaches to Q-Learning.

Prerequisite: CMSI 485  or consent of instructor.

Print-Friendly Page (opens a new window)