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.
You can find a full syllabus and description of the course here: http://web.stanford.edu/~jacksonm/GTOC-Syllabus.html
There is also an advanced follow-up course to this one, for people already familiar with game theory: https://www.coursera.org/learn/gametheory2/
You can find an introductory video here: http://web.stanford.edu/~jacksonm/Intro_Networks.mp4
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
4-7 Imperfect Information Extensive Form: Poker •4 minutes
4-8 Imperfect Information Extensive Form: Definition, Strategies •11 minutes
4-9 Mixed and Behavioral Strategies •9 minutes
4-10 Incomplete Information in the Extensive Form: Beyond Subgame Perfection •13 minutes
2 assignments•Total 60 minutes
In-Video Quizzes Week 4•30 minutes
Problem Set 4•30 minutes
2 discussion prompts•Total 20 minutes
Play the Centipede Game if you like•10 minutes
Play the Rainbow Warship game if you like•10 minutes
Week 5: Repeated Games
Module 5•3 hours to complete
Module details
Repeated prisoners dilemma, finite and infinite repeated games, limited-average versus future-discounted reward, folk theorems, stochastic games and learning.
What's included
7 videos2 assignments2 discussion prompts
Show info about module content
7 videos•Total 87 minutes
5-1 Repeated Games •6 minutes
5-2 Infinitely Repeated Games: Utility •7 minutes
5-3 Stochastic Games •6 minutes
5-4 Learning in Repeated Games •16 minutes
5-5 Equilibria of Infinitely Repeated Games •29 minutes
5-6 Discounted Repeated Games •13 minutes
5-7 A Folk Theorem for Discounted Repeated Games •11 minutes
2 assignments•Total 60 minutes
In-Video Quizzes Week 5•30 minutes
Problem Set 5•30 minutes
2 discussion prompts•Total 20 minutes
Play some repeated games if you like•10 minutes
Play the repeated battle of the sexes game•10 minutes
Week 6: Bayesian Games
Module 6•2 hours to complete
Module details
General definitions, ex ante/interim Bayesian Nash equilibrium.
What's included
6 videos2 assignments
Show info about module content
6 videos•Total 53 minutes
6-1 Bayesian Games: Taste •6 minutes
6-2 Bayesian Games: First Definition •10 minutes
6-2 Bayesian Games: First Defintion (yoav)•8 minutes
6-3 Bayesian Games: Second Definition •7 minutes
6-4 Analyzing Bayesian Games •11 minutes
6-5 Analyzing Bayesian Games: Another Example •10 minutes
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A
AG
4·
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.
R
RC
4·
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.
P
PR
4·
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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