Vincent Conitzer, Sally Dalton Robinson Professor of Computer Science and Economics

Professor Vincent Conitzer's research focuses on issues in the intersection of computer science (especially artificial intelligence) and economics. This includes the design of new marketplaces and other negotiation protocols that allow humans and software agents to express their preferences naturally and accurately, and that generate good outcomes based on these preferences. It also includes the design of software agents that can act strategically in settings where multiple parties all pursue their own interests. This requires the use of concepts from game theory, as well as operationalizing these concepts by finding efficient algorithms for computing the corresponding solutions. Finally, his research includes the study of all settings in computer science in which multiple parties will act in their own self-interest, as well as the design of incentive mechanisms to reach good outcomes in spite of such behavior.

Contact Info:

Office Location:	D207 Levine Science Research Center
Office Phone:	(919) 660-6503
Email Address:
Web Page:	http://www.cs.duke.edu/~conitzer/

Specialties:

Economic Theory
Microeconomics

Research Interests: (Computational aspects of) game theory, mechanism design, social choice theory, auctions and exchanges, electronic commerce

Professor Vincent Conitzer's research focuses on issues in the intersection of computer science (especially artificial intelligence) and economics. This includes the design of new marketplaces and other negotiation protocols that allow humans and software agents to express their preferences naturally and accurately, and that generate good outcomes based on these preferences. It also includes the design of software agents that can act strategically in settings where multiple parties all pursue their own interests. This requires the use of concepts from game theory, as well as operationalizing these concepts by finding efficient algorithms for computing the corresponding solutions. Finally, his research includes the study of all settings in computer science in which multiple parties will act in their own self-interest, as well as the design of incentive mechanisms to reach good outcomes in spite of such behavior.

Keywords:

intersection of computer science and economics • game theory • mechanism design • electronic commerce • artificial intelligence • multiagent systems • auctions & exchanges • public goods & externalities • expressive markets/negotiation • preference elicitation • coalition formation • voting • resource-bounded reasoning • learning in games • computational & communication complexity • game playing • optimization • search • machine learning