Lecture 1: Introduction to Individual Decision-Making (14.12)
57:16Lecture 2: Representation of Games (14.12)
1:13:14Lecture 3: Dominance (14.12)
1:16:26Lecture 4: Rationalizability (14.12)
1:21:50Lecture 5: Nash Equilibrium (14.12)
1:19:27Lecture 6: Imperfect Competition (14.12)
1:20:30Lecture 7: Zero-Sum Games (14.12)
1:20:39Lecture 8: Backward Induction (14.12)
1:17:06Lecture 9: Negotiation (14.12)
1:13:34Lecture 10: Subgame-Perfect Nash Equilibrium (14.12)
1:20:41Lecture 11: One-Shot Deviation Principle and Bargaining (14.12)
1:18:29Lecture 12: Finitely Repeated Games (14.12)
1:17:09Lecture 13: Infinitely Repeated Games (14.12)
1:22:18Lecture 14: Folk Theorem (14.12)
1:17:38Lecture 15: Implicit Cartels (14.12)
1:21:18Lecture 16: Bayesian Games (14.12)
1:21:15Lecture 17: Bayesian Nash Equilibrium: Applications (14.12)
1:09:47Lecture 18: Auctions (14.12)
1:19:23Lecture 19: Revenue Equivalence (14.12)
1:20:20Lecture 20: Ad Auctions (14.12)
1:16:04Lecture 4: Rationalizability (14.12)
This lecture introduces rationalizability, a concept defining the set of strategies that rational players might choose given common knowledge of rationality. It explores how iterative elimination of strictly dominated strategies identifies rationalizable actions.
MIT 14.12 Economic Applications of Game Theory, Fall 2025
Instructor: Ian Ball
View the complete course: https://ocw.mit.edu/courses/14-12-economic-applications-of-game-theory-fall-2025/
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63quuKvMHCt3cmTmt0O2qpv
Seminar notes & discussion
No public seminar notes on this lecture yet.