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
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Stanford University

The University of Tokyo

IIMA - IIM Ahmedabad
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Chaitanya A.
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Reviewed on Jul 3, 2020
The first weeks are very well structured and can be understood, but later on it gets more confused. I don't feel like I understand the cooperative games (weeks 6-8) after this course.
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 Apr 13, 2019
It was such a helpful course that gave me the opportunity to learn few basic methods and terms about game theory through lots of interesting and to the point examples by three unique professors

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