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.
Offered By
Game Theory
Stanford UniversityAbout this Course
Skills you will gain
- Game Theory
- Backward Induction
- Bayesian Game
- Problem Solving
Syllabus - What you will learn from this course
Week 1: Introduction and Overview
Week 2: Mixed-Strategy Nash Equilibrium
Week 3: Alternate Solution Concepts
Week 4: Extensive-Form Games
Reviews
- 5 stars71.49%
- 4 stars22.37%
- 3 stars3.92%
- 2 stars1.07%
- 1 star1.12%
TOP REVIEWS FROM GAME THEORY
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! ;)
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.
Few of the topics lack enough explanation to solve the assignments. But the discussion forums were really helpful with the mentors clarifying a lot of doubts. Overall enjoyed the course!
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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