Research Interests for Vincent Conitzer

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

Recent Publications

1. Conitzer, V, The Complexity of Computing Robust Mediated Equilibria in Ordinal Games, Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38 no. 9 (March, 2024), pp. 9607-9615 [doi] [abs]
2. Xu, YE; Zhang, H; Conitzer, V, Non-excludable Bilateral Trade between Groups, Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38 no. 9 (March, 2024), pp. 9952-9959 [doi] [abs]
3. Oesterheld, C; Demski, A; Conitzer, V, A Theory of Bounded Inductive Rationality, Electronic Proceedings in Theoretical Computer Science, EPTCS, vol. 379 (July, 2023), pp. 421-440 [doi] [abs]
4. Zhang, H; Cheng, Y; Conitzer, V, Efficiently Solving Turn-Taking Stochastic Games with Extensive-Form Correlation, EC 2023 - Proceedings of the 24th ACM Conference on Economics and Computation (July, 2023), pp. 1161-1186, ISBN 9798400701047 [doi] [abs]
5. Conitzer, V; Oesterheld, C, Foundations of Cooperative AI, Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, vol. 37 (June, 2023), pp. 15359-15367, ISBN 9781577358800 [abs]