Go to Main Content

Brown University

 

HELP | EXIT

Detailed Course Information

 

Spring 2017
Dec 15, 2019
Transparent Image
  Select the desired Level or Schedule Type to find available classes for the course.

CSCI 2951Z - Advanced Algorithmic Game Theory
This course examines topics in game theory from a computer scientist's perspective. Through the lens of computation, it will focus on the design and analysis of systems involving self-interested agents, investigating how strategic behavior should influence algorithm design, which game-theoretic solution concepts are practical to implement, and the ramifications of conflicts of interest between system designers and participating agents. Students will create their own automated trading agents for various simulated market games. Topics include: auctions and mechanism design, equilibria, and learning. For graduate credit, students will complete additional homework exercises, and a significant programming project.
1.000 Credit hours
1.000 Lecture hours

Levels: Graduate, Undergraduate
Schedule Types: Primary Meeting

Computer Science Department

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate

Return to Previous New Search
Transparent Image
Skip to top of page
Release: 8.7.2.4