CS 488 AI Reasoning, Decisions, and Learning

This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, taken from the disciplines of artificial intelligence and operations research. Reasoning paradigms include logic and deduction, heuristic and constraint-based search, model-based reasoning, planning and execution, reasoning under uncertainty, and machine learning. Optimization paradigms include linear integer and dynamic programming. Decision-making paradigms include decision theoretic planning, and Markov decision processes.

Credits

3

Prerequisite

CS 485, MA 331 and MA 422