80 306

Decision Theory

Carnegie Mellon University · UGRD · Fall 2026

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How should rational agents choose under uncertainty? This mixed-level (graduate and amp; 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: 21-128 Min. grade C or 80-212 Min. grade C or 80-210 Min. grade C or 15-251 Min. grade C or 21-127 Min. grade C

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Class #carnegie_mellon-80306Fall 2026UGRD9 credits
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