Computational Game Theory credit:

4 Hours

The intersection of economics and computer science is explored, focusing on computational methods applied to strategic interaction problems. Game theory solutions for static and extensive-form games with complete and incomplete information are covered. Mechanism design is examined, exploring systems that incentivize desired behavior from self-interested agents through auctions, voting, and fair allocation. Algorithmic aspects including learning algorithms and computational complexity of finding equilibria are addressed. Applications in multi-agent learning, security, and electronic marketplaces are analyzed. Prerequisite: Restricted to MS in Economics and Computer Science students or consent of the instructor.