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相关论文: Strategyproof Mechanism for Two Heterogeneous Faci…

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We study the distributed facility location problem, where a set of agents with positions on the line of real numbers are partitioned into disjoint districts, and the goal is to choose a point to satisfy certain criteria, such as optimize an…

计算机科学与博弈论 · 计算机科学 2023-01-05 Aris Filos-Ratsikas , Panagiotis Kanellopoulos , Alexandros A. Voudouris , Rongsen Zhang

We initiate the study of matching roommates and rooms wherein the preferences of agents over other agents and rooms are complementary and represented by Leontief utilities. In this setting, 2n agents must be paired up and assigned to n…

计算机科学与博弈论 · 计算机科学 2024-12-19 Hadi Hosseini , Shivika Narang , Sanjukta Roy

Facility location is fundamental in operations research, mechanism design, and algorithmic game theory, with applications ranging from urban infrastructure planning to distributed systems. Recent research in this area has focused on…

数据结构与算法 · 计算机科学 2025-07-15 Yangguang Shi , Zhenyu Xue

Our work is devoted to the metric facility location problem and addresses the selfish behavior of the players. It contributes to the line of work initiated by Procaccia and Tennenholtz [EC09] on approximate mechanism design without money.…

计算机科学与博弈论 · 计算机科学 2012-02-10 Nick Gravin , Dominik Scheder

Strategy-proof mechanisms are widely used in market design. In an abstract allocation framework where outside options are available to agents, we obtain two results for strategy-proof mechanisms. They provide a unified foundation for…

理论经济学 · 经济学 2021-01-05 Jun Zhang

We study the impact on mechanisms for facility location of moving from one dimension to two (or more) dimensions and Euclidean or Manhattan distances. We consider three fundamental axiomatic properties: anonymity which is a basic fairness…

人工智能 · 计算机科学 2020-09-18 Toby Walsh

We consider strategy proof mechanisms for facility location which maximize equitability between agents. As is common in the literature, we measure equitability with the Gini index. We first prove a simple but fundamental impossibility…

计算机科学与博弈论 · 计算机科学 2025-06-13 Toby Walsh

The two-stage stochastic unit commitment problem has become an important tool to support decision-making under uncertainty in power systems. Representing the uncertainty by a large number of scenarios guarantees accurate results but…

最优化与控制 · 数学 2025-12-23 Yannick Werner , Juan Miguel Morales , Salvador Pineda , Line Roald , Sonja Wogrin

This paper investigates mechanism design for congested facility location problems, where agents are partitioned into groups with conflicting interests (e.g., competition for booking a basketball court in a gymnasium), and each agent's cost…

计算机科学与博弈论 · 计算机科学 2025-08-20 Cheng Peng , Houyu Zhou

We study a variation of facility location problems (FLPs) that aims to improve the accessibility of agents to the facility within the context of mechanism design without money. In such a variation, agents have preferences on the ideal…

计算机科学与博弈论 · 计算机科学 2024-09-16 Hau Chan , Jianan Lin , Chenhao Wang , Yanxi Xie

We consider a single-facility location problem, where agents are positioned on the real line and are partitioned into multiple disjoint districts. The goal is to choose a location (where a public facility is to be built) so as to minimize…

计算机科学与博弈论 · 计算机科学 2021-07-13 Aris Filos-Ratsikas , Alexandros A. Voudouris

We describe a two-stage mechanism that fully implements the set of efficient outcomes in two-agent environments with quasi-linear utilities. The mechanism asks one agent to set prices for each outcome, and the other agent to make a choice,…

理论经济学 · 经济学 2023-04-25 Federico Echenique , Matías Núñez

We study facility location problems where agents control multiple locations and when reporting their locations can choose to hide some locations (hiding), report some locations more than once (replication) and lie about their locations…

计算机科学与博弈论 · 计算机科学 2020-03-30 Xiang Yan , Yiling Chen

An important feature of many real world facility location problems are capacity limits on the facilities. We show here how capacity constraints make it harder to design strategy proof mechanisms for facility location, but…

人工智能 · 计算机科学 2020-09-18 Toby Walsh

We study Nash equilibria in strategic facility location games where clients are located in an arbitrary metric space. Specifically, there are $n$ clients, and the goal is to choose a facility from a set of given locations, so that the total…

计算机科学与博弈论 · 计算机科学 2026-04-21 Yue Gruszecki , Elliot Anshelevich

We first show that a better analysis of the algorithm for The Two-Sage Stochastic Facility Location Problem from Srinivasan \cite{sri07} and the algorithm for The Robust Fault Tolerant Facility Location Problem from Byrka et al \cite{bgs10}…

数据结构与算法 · 计算机科学 2013-05-13 Shuxin Cai , Wenguo Yang , Yaohua Tang

We consider concurrent games played on graphs. At every round of a game, each player simultaneously and independently selects a move; the moves jointly determine the transition to a successor state. Two basic objectives are the safety…

计算机科学与博弈论 · 计算机科学 2012-07-03 Krishnendu Chatterjee , Luca de Alfaro , Thomas A. Henzinger

The recent large scale availability of mobility data, which captures individual mobility patterns, poses novel operational problems that are exciting and challenging. Motivated by this, we introduce and study a variant of the…

数据结构与算法 · 计算机科学 2023-12-12 Ozan Candogan , Yiding Feng

This paper considers a scenario within the field of mechanism design without money where a mechanism designer is interested in selecting items with maximum total value under a knapsack constraint. The items, however, are controlled by…

计算机科学与博弈论 · 计算机科学 2024-10-10 Javier Cembrano , Max Klimm , Martin Knaack

We consider competitive facility location as a two-stage multi-agent system with two types of clients. For a given host graph with weighted clients on the vertices, first facility agents strategically select vertices for opening their…

计算机科学与博弈论 · 计算机科学 2024-07-10 Simon Krogmann , Pascal Lenzner , Alexander Skopalik , Marc Uetz , Marnix C. Vos