2019 - ACM Fellow For contributions to game theory, social choice theory, and mechanism design
2019 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the advancement of artificial intelligence through integration with economics and philosophy, including game theory, mechanism design, social choice, and ethics.
2015 - Fellow of John Simon Guggenheim Memorial Foundation
2008 - Fellow of Alfred P. Sloan Foundation
His study explores the link between Computational complexity theory and topics such as Algorithm that cross with problems in Computation. In his articles, he combines various disciplines, including Computation and Algorithm. His research on Epistemology often connects related areas such as Mechanism (biology) and Property (philosophy). His Mechanism (biology) study often links to related topics such as Epistemology. His work in Quantum mechanics incorporates the disciplines of Observable and Action (physics). With his scientific publications, his incorporates both Action (physics) and Quantum mechanics. Marketing is connected with Price discrimination and Advertising in his study. He integrates Advertising with Marketing in his research. In his works, he undertakes multidisciplinary study on Mathematical economics and Econometrics.
As a member of one scientific family, Vincent Conitzer mostly works in the field of Game theory, focusing on Mathematical economics and, on occasion, Nash equilibrium. Algorithm overlaps with fields such as Mathematical optimization and Artificial intelligence in his research. He undertakes multidisciplinary investigations into Mathematical optimization and Mathematical economics in his work. His multidisciplinary approach integrates Artificial intelligence and Algorithm in his work. Many of his studies on Law involve topics that are commonly interrelated, such as Approval voting. His Politics research extends to Approval voting, which is thematically connected. Vincent Conitzer merges Politics with Voting in his research. Vincent Conitzer combines Voting and Cardinal voting systems in his research. His work in Cardinal voting systems is not limited to one particular discipline; it also encompasses Law.
Many of his studies involve connections with topics such as Quality (philosophy) and Philosophy of science and Epistemology. His Quality (philosophy) study frequently draws connections between adjacent fields such as Epistemology. Much of his study explores Engineering ethics relationship to Ethical decision and Information ethics. Ethical decision and Engineering ethics are commonly linked in his work. Vincent Conitzer conducted interdisciplinary study in his works that combined Artificial intelligence and Algorithm. Borrowing concepts from Artificial intelligence, he weaves in ideas under Algorithm. His research ties Selection (genetic algorithm) and Machine learning together. Selection (genetic algorithm) and Machine learning are frequently intertwined in his study. Many of his studies involve connections with topics such as Market economy and Paternalism.
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When are elections with few candidates hard to manipulate
Vincent Conitzer;Tuomas Sandholm;Jérôme Lang.
Journal of the ACM (2007)
Computing the optimal strategy to commit to
Vincent Conitzer;Tuomas Sandholm.
electronic commerce (2006)
Handbook of Computational Social Choice
Felix Brandt;Vincent Conitzer;Ulle Endriss;Jérôme Lang;Jérôme Lang.
Research Papers in Economics (2016)
New complexity results about Nash equilibria
Vincent Conitzer;Tuomas W Sandholm.
Games and Economic Behavior (2008)
Complexity of mechanism design
Vincent Conitzer;Tuomas Sandholm.
uncertainty in artificial intelligence (2002)
Complexity results about Nash equilibria
Vincent Conitzer;Tüomas Sandholm.
international joint conference on artificial intelligence (2003)
Stackelberg vs. Nash in security games: an extended investigation of interchangeability, equivalence, and uniqueness
Dmytro Korzhyk;Zhengyu Yin;Christopher Kiekintveld;Vincent Conitzer.
(2011)
AWESOME: A general multiagent learning algorithm that converges in self-play and learns a best response against stationary opponents
Vincent Conitzer;Tuomas Sandholm.
Machine Learning (2007)
Determining possible and necessary winners under common voting rules given partial orders
Lirong Xia;Vincent Conitzer.
Journal of Artificial Intelligence Research (2011)
A double oracle algorithm for zero-sum security games on graphs
Manish Jain;Dmytro Korzhyk;Ondřej Vaněk;Vincent Conitzer.
(2011)
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