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Game Theory

This course provides an introduction to game theory and strategic thinking. Ideas such as dominance, backward induction, Nash equilibrium, evolutionary stability, commitment, credibility, asymmetric information, adverse selection, and signaling are discussed and applied to games played in class and to examples drawn from economics, politics, the movies, and elsewhere. (from oyc.yale.edu )

Instructor

Professor Ben Polak,

Economics

2008

Lecture 01 - Introduction: Five First Lessons

Lecture 02 - Putting Yourselves into Other People's Shoes

Lecture 03 - Iterative Deletion and the Median-Voter Theorem

Lecture 04 - Best Responses in Soccer and Business Partnerships

Lecture 05 - Nash Equilibrium: Bad Fashion and Bank Runs

Lecture 06 - Nash Equilibrium: Dating and Cournot

Lecture 07 - Nash Equilibrium: Shopping, Standing and Voting on a Line

Lecture 08 - Nash Equilibrium: Location, Segregation and Randomization

Lecture 09 - Mixed Strategies in Theory and Tennis

Lecture 10 - Mixed Strategies in Baseball, Dating and Paying Your Taxes

Lecture 11 - Evolutionary Stability: Cooperation, Mutation, and Equilibrium

Lecture 12 - Evolutionary Stability: Social Convention, Aggression, and Cycles

Lecture 13 - Sequential Games: Moral Hazard, Incentives, and Hungry Lions

Lecture 14 - Backward Induction: Commitment, Spies, and First-Mover Advantages

Lecture 15 - Backward Induction: Chess, Strategies, and Credible Threats

Lecture 16 - Backward Induction: Reputation and Duels

Lecture 17 - Backward Induction: Ultimatums and Bargaining

Lecture 18 - Imperfect Information: Information Sets and Sub-Game Perfection

Lecture 19 - Subgame Perfect Equilibrium: Matchmaking and Strategic Investments

Lecture 20 - Subgame Perfect Equilibrium: Wars of Attrition

Lecture 21 - Repeated Games: Cooperation vs. the End Game

Lecture 22 - Repeated Games: Cheating, Punishment, and Outsourcing

Lecture 23 - Asymmetric Information: Silence, Signaling and Suffering Education

Lecture 24 - Asymmetric Information: Auctions and the Winner's Course