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Titlebook: Algorithmic Game Theory; 17th International S Guido Schäfer,Carmine Ventre Conference proceedings 2024 The Editor(s) (if applicable) and Th

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期刊全称Algorithmic Game Theory
期刊简称17th International S
影响因子2023Guido Schäfer,Carmine Ventre
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Algorithmic Game Theory; 17th International S Guido Schäfer,Carmine Ventre Conference proceedings 2024 The Editor(s) (if applicable) and Th
影响因子.This volume constitutes the refereed proceedings of 17th International Symposium on Algorithmic Game Theory, SAGT 2024, held in Amsterdam, The Netherlands, during September 3–6, 2024...The 29 full papers included in this book were carefully reviewed and selected from 84 submissions. They were organized in topical sections as follows: matching; fair division and resource allocation; mechanism design; game theory and repeated games; pricing, revenue, and regulation; matroid theory in game theory; information sharing and decision making; computational complexity and resource allocation..
Pindex Conference proceedings 2024
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The Team Order Problem: Maximizing the Probability of Matching Being Large Enoughms. In the competitions which we study, each competitor in a team order plays a match with the corresponding opposing player. The team that wins more matches wins. We consider a problem where the input is the graph of probabilities that a team 1 player can win against the team 2 player, and the outp
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Fair Division with Interdependent Values In our setting, there is a set of goods that needs to be allocated to a set of agents (without disposal). Each agent is given a private signal, and his valuation function depends on the signals of all agents. Without the use of payments, there are strong impossibility results for designing strategy
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Agent-Constrained Truthful Facility Location Games to place a number of facilities at different locations chosen from the set of those reported by the agents. Given a feasible solution, each agent suffers an individual cost that is either its total distance to all facilities (sum-variant) or its distance to the farthest facility (max-variant). For
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The ,-Facility Location Problem via Optimal Transport: A Bayesian Study of the Percentile Mechanisms samples of a probability distributed on a line. Our primary contribution is characterising the asymptotic behavior of percentile mechanisms, which varies according to the distribution governing the agents’ types. To achieve this, we connect the .-FLP and projection problems in the Wasserstein space
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