Advanced Algorithmic Game Theory

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Location:CIT 368
Meeting Time:N hr: W 3:00-5:20
Exam Group:10: 09-MAY-2020 Exam Time: 09:00:00 AM
Offered this year?Yes
When Offered?Occasionally


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.

CRN: 27199