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 stars71.47%
- 4 stars22.38%
- 3 stars3.93%
- 2 stars1.08%
- 1 star1.12%
TOP REVIEWS FROM GAME THEORY
I would have preferred a more mathematically rigorous treatment of the subject. Nevertheless, this was a great course — the instructors expounded all concepts with exceptional clarity and engagement.
A very in-depth and useful introduction to Game Theory and the different types of interactions between multiple stakeholders. The examples used are varied and serve to simplify the theory.
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.
Love this course. Really interesting to learn. This subject was very problematic for me when I studied at the University and now I am pretty friendly with it thanks to the Professors of the course.
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