6.853 Topics in Algorithmic Game Theory

Class Info

Presents research topics at the interface of computer science and game theory, with an emphasis on algorithms and computational complexity. Explores the types of game-theoretic tools that are applicable to computer systems, the loss in system performance due to the conflicts of interest of users and administrators, and the design of systems whose performance is robust with respect to conflicts of interest inside the system. Algorithmic focus is on algorithms for equilibria, the complexity of equilibria and fixed points, algorithmic tools in mechanism design, learning in games, and the price of anarchy.

This class has 6.006, and 6.046 as prerequisites.

6.853 will be offered this semester (Spring 2019). It is instructed by K. Daskalakis.

Lecture occurs 2:30 PM to 4:00 PM on Tuesdays and Thursdays in 54-100.

This class counts for a total of 12 credits.

You can find more information at the MIT + 6.853 - Google Search site.

MIT 6.853 Topics in Algorithmic Game Theory Related Textbooks
MIT 6.853 Topics in Algorithmic Game Theory On The Web

© Copyright 2015