Game Theory

$79.00

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. read more…

Level

Rating

Duration

Language

Subtitle

Feature

,

,

,

,

Description

What you'll learn

Week 1: Introduction and Overview

Week 2: Mixed-Strategy Nash Equilibrium

Week 3: Alternate Solution Concepts

Week 4: Extensive-Form Games

Week 5: Repeated Games

Week 6: Bayesian Games

Week 7: Coalitional Games

Description

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

Requirements

Access to a computer or mobile device with an internet connection.

Motivation to learn!

There are no special materials or prerequisite knowledge required for this course.

Who this course is for

Students who are new to this field

Students willing to put in a couple hours to learn about Game Theory

Advanced students wanting to add another skill to their portfolio

Content Creator

Matthew O. Jackson – Professor – Economics

Kevin Leyton-Brown – Professor – Computer Science

Yoav Shoham – Professor – Computer Science

This course includes

Participation Confirmation/Certificate

Option for learning at your own pace

Videos and reading material about the course

Practice tests

Assessed tasks with feedback from other course participants

Evaluated tests with feedback

Evaluated programming tasks

Discussions

Got something to discuss?