Vincent Conitzer

ORCID: 0000-0003-1899-7884
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About
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Research Areas
  • Auction Theory and Applications
  • Game Theory and Voting Systems
  • Game Theory and Applications
  • Consumer Market Behavior and Pricing
  • Logic, Reasoning, and Knowledge
  • Experimental Behavioral Economics Studies
  • Optimization and Search Problems
  • Economic theories and models
  • Infrastructure Resilience and Vulnerability Analysis
  • Internet Traffic Analysis and Secure E-voting
  • Complexity and Algorithms in Graphs
  • Law, Economics, and Judicial Systems
  • Ethics and Social Impacts of AI
  • Computability, Logic, AI Algorithms
  • Opinion Dynamics and Social Influence
  • Advanced Bandit Algorithms Research
  • Reinforcement Learning in Robotics
  • Sports Analytics and Performance
  • Decision-Making and Behavioral Economics
  • Multi-Agent Systems and Negotiation
  • Mobile Crowdsensing and Crowdsourcing
  • Machine Learning and Algorithms
  • Supply Chain and Inventory Management
  • Constraint Satisfaction and Optimization
  • Data Management and Algorithms

Carnegie Mellon University
2002-2025

University of Oxford
2021-2024

Duke University
2013-2022

Wellcome Centre for Ethics and Humanities
2021-2022

Microsoft (United States)
2019

Laboratoire d'Informatique de Paris-Nord
2002-2012

University of Southern California
2011

The University of Texas at El Paso
2011

In multiagent systems, strategic settings are often analyzed under the assumption that players choose their strategies simultaneously. However, this model is not always realistic. many settings, one player able to commit a strategy before other makes decision. Such models synonymously referred as leadership, commitment, or Stackelberg models, and optimal play in such significantly different from where selected simultaneously.The recent surge interest computing game-theoretic solutions has so...

10.1145/1134707.1134717 article EN 2006-06-11

In multiagent settings where the agents have different preferences, preference aggregation is a central issue. Voting general method for aggregation, but seminal results shown that all voting protocols are manipulable. One could try to avoid manipulation by using determining beneficial hard. Especially among computational agents, it reasonable measure this hardness complexity. Some earlier work has been done in area, was assumed number of voters and candidates unbounded. Such lose relevance...

10.1145/1236457.1236461 article EN Journal of the ACM 2007-06-01

Noncooperative game theory provides a normative framework for analyzing strategic interactions. However, the toolbox to be operational, solutions it defines will have computed. In this paper, we provide single reduction that 1) demonstrates NP-hardness of determining whether Nash equilibria with certain natural properties exist, and 2) #P-hardness counting (or connected sets equilibria). We also show 3) pure-strategy Bayes-Nash equilibrium exists is NP-hard, 4) in stochastic (Markov)...

10.48550/arxiv.cs/0205074 preprint EN other-oa arXiv (Cornell University) 2002-01-01

There has been significant recent interest in game-theoretic approaches to security, with much of the research focused on utilizing leader-follower Stackelberg game model. Among major applications are ARMOR program deployed at LAX Airport and IRIS use by US Federal Air Marshals (FAMS). The foundational assumption for using games is that security forces (leaders), acting first, commit a randomized strategy; while their adversaries (followers) choose best response after surveillance this...

10.1613/jair.3269 article EN cc-by Journal of Artificial Intelligence Research 2011-06-21

10.1016/j.geb.2008.02.015 article EN Games and Economic Behavior 2008-05-04

Recently, algorithms for computing game-theoretic solutions have been deployed in real-world security applications, such as the placement of checkpoints and canine units at Los Angeles International Airport. These assume that defender (security personnel) can commit to a mixed strategy, so-called Stackelberg model. As pointed out by Kiekintveld et al. (2009), these generally, multiple resources need be assigned targets, resulting an exponential number pure strategies defender. In this paper,...

10.1609/aaai.v24i1.7638 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2010-07-04

Usually a voting rule requires agents to give their preferences as linear orders. However, in some cases it is impractical for an agent order over all the alternatives. It has been suggested let submit partial orders instead. Then, given rule, profile of orders, and alternative (candidate) c, two important questions arise: first, still possible c win, second, guaranteed win? These are winner necessary problems, respectively. Each these problems further divided into sub-problems: determining...

10.1613/jair.3186 article EN cc-by Journal of Artificial Intelligence Research 2011-05-17

When a firm can recognize its previous customers, it may use information about their past purchases to price discriminate. We study model with monopolist and continuum of heterogeneous consumers, where consumers have the ability maintain anonymity avoid being identified as possibly at cost. freely anonymity, they all individually choose do so, which results in highest profit for monopolist. Increasing cost benefit but only up point, after effect is reversed. show that if or an independent...

10.1287/mksc.1110.0691 article EN Marketing Science 2012-01-25

In response to the Mumbai attacks of 2008, police have started schedule a limited number inspection checkpoints on road network throughout city. Algorithms for similar security-related scheduling problems been proposed in recent literature, but security networked domains when targets varying importance remains an open problem at large. this paper, we cast as attacker-defender zero-sum game. The strategy spaces both players are exponentially large, so requires development novel, scalable...

10.5555/2030470.2030518 article EN Adaptive Agents and Multi-Agents Systems 2011-05-02

We generalize the classic problem of fairly allocating indivisible goods to fair public decision making, in which a must be made on several social issues simultaneously, and, unlike setting, can provide positive utility multiple players. extend popular fairness notion proportionality (which is not guaranteeable) our more general and introduce three novel relaxations --- up one issue, round robin share, pessimistic proportional share that are also interesting allocation setting. show Maximum...

10.1145/3033274.3085125 article EN 2017-06-20

The generality of decision and game theory has enabled domain-independent progress in AI research. For example, a better algorithm for finding good policies (PO)MDPs can be instantly used variety applications. But such general is lacking when it comes to moral making. applications with component, are we then forced build systems based on many ad-hoc rules? In this paper discuss possible ways avoid conclusion.

10.1609/aaai.v31i1.11140 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2017-02-12

10.1016/j.artint.2006.01.005 article EN publisher-specific-oa Artificial Intelligence 2006-02-20

We determine the communication complexity of common voting rules. The rules (sorted by their from low to high) are plurality, plurality with runoff, single transferable vote (STV), Condorcet, approval, Bucklin, cup, maximin, Borda, Copeland, and ranked pairs. For each rule, we first give a deterministic protocol an upper bound on number bits communicated in it; then, lower (even nondeterministic) requirements rule. bounds match for all except STV maximin.

10.1145/1064009.1064018 article EN 2005-06-05
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