80-306 Decision Theory

9 units, Carnegie Mellon University

How should rational agents choose under uncertainty? This mixed-level (graduate & undergraduate) course introduces the main frameworks for decision-making along with key debates between Causal, Evidential, Functional, and Updateless decision theories. We examine justifications for expected utility maximization and probabilistic reasoning. Paradoxes and alternatives theories of uncertainty and risk are considered. In addition, we will use the tools of decision theory to examine pressing puzzles in AI alignment. Students will gain the tools to understand, apply, and critique competing theories of rational choice.

Prerequisites: 15-251 (min C) or 21-127 (min C) or 21-128 (min C) or 80-212 (min C) or 80-210 (min C)

Offered: Spring 2027, Spring 2026

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