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.


Game Theory



Instructors: Matthew O. Jackson
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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 Jan 26, 2019
Excellent course for beginners. Problem sets are very creative. No more further resources needed. I found this course specially useful if the purpose is to apply Game Theory in other disciplines.
Reviewed on Jul 5, 2020
Overall, a good introductory course with clear presentations and challenging tests. However, one of the professors is more difficult to follow as the pace of presentation is not fluid.
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