Popularized by movies such as "A Beautiful Mind," game theory is the mathematical modeling of strategic interaction among rational (and irrational) agents. Beyond what we call `games' in common language, such as chess, poker, soccer, etc., it includes the modeling of conflict among nations, political campaigns, competition among firms, and trading behavior in markets such as the NYSE. How could you begin to model keyword auctions, and peer to peer file-sharing networks, without accounting for the incentives of the people using them? The course will provide the basics: representing games and strategies, the extensive form (which computer scientists call game trees), Bayesian games (modeling things like auctions), repeated and stochastic games, and more. We'll include a variety of examples including classic games and a few applications.
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There are 8 modules in this course
Introduction, overview, uses of game theory, some applications and examples, and formal definitions of: the normal form, payoffs, strategies, pure strategy Nash equilibrium, dominant strategies
What's included
11 videos2 readings2 assignments3 discussion prompts
pure and mixed strategy Nash equilibria
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7 videos2 assignments
Iterative removal of strictly dominated strategies, minimax strategies and the minimax theorem for zero-sum game, correlated equilibria
What's included
6 videos2 assignments
Perfect information games: trees, players assigned to nodes, payoffs, backward Induction, subgame perfect equilibrium, introduction to imperfect-information games, mixed versus behavioral strategies.
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10 videos2 assignments2 discussion prompts
Repeated prisoners dilemma, finite and infinite repeated games, limited-average versus future-discounted reward, folk theorems, stochastic games and learning.
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7 videos2 assignments2 discussion prompts
General definitions, ex ante/interim Bayesian Nash equilibrium.
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6 videos2 assignments
Transferable utility cooperative games, Shapley value, Core, applications.
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5 videos2 assignments
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1 assignment
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The University of Tokyo
Stanford University
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Reviewed on May 8, 2017
The course is generally good. The exercises however are not very well explained. Furthermore, it would be nice to have a pdf from the course in order to be able to study independently.
Reviewed on Jul 4, 2017
Course is really good. Covers a lot of content. One of the best places on the internet to learn game theory. Active discussion forum. Some more examples can be added as separate videos.
Reviewed on Dec 11, 2018
Amazing course! Gives great deal of insight into the subject! Just love the way Kevin explains! Matt could actually work on his stammering; or probably slow down a bit. The content was top notch! ;)
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