What is he best known for?
The fields of study Vincent Conitzer is best known for:
- Game theory
- Nash equilibrium
- Approval voting
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.
His most cited work include:
- When are elections with few candidates hard to manipulate? (340 citations)
- Handbook of Computational Social Choice (178 citations)
- AWESOME: A general multiagent learning algorithm that converges in self-play and learns a best response against stationary opponents (169 citations)
What are the main themes of his work throughout his whole career to date
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.
Vincent Conitzer most often published in these fields:
- Mathematical economics (65.28%)
- Law (43.06%)
- Politics (36.11%)
What were the highlights of his more recent work (between 2019-2022)?
- Artificial intelligence (100.00%)
- Epistemology (66.67%)
- Algorithm (33.33%)
In recent works Vincent Conitzer was focusing on the following fields of study:
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.
Between 2019 and 2022, his most popular works were:
- Adapting a kidney exchange algorithm to align with human values (33 citations)
- Interpretable, not black-box, artificial intelligence should be used for embryo selection (13 citations)
- Computational ethics (7 citations)
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