{"title":"有禀赋的单边匹配市场:均衡与算法","authors":"Jugal Garg, Thorben Tröbst, Vijay Vazirani","doi":"10.1007/s10458-024-09670-9","DOIUrl":null,"url":null,"abstract":"<div><p>The Arrow–Debreu extension of the classic Hylland–Zeckhauser scheme (Hylland and Zeckhauser in J Polit Econ 87(2):293–314, 1979) for a one-sided matching market—called ADHZ in this paper—has natural applications but has instances which do not admit equilibria. By introducing approximation, we define the <span>\\(\\epsilon\\)</span><i>-approximate ADHZ model</i> and give the following results. 1. Existence of equilibrium under linear utility functions. We prove that the equilibrium allocation satisfies Pareto optimality, approximate envy-freeness, and approximate weak core stability. 2. A combinatorial polynomial time algorithm for an <span>\\(\\epsilon\\)</span>-approximate ADHZ equilibrium for the case of dichotomous, and more generally bi-valued, utilities. 3. An instance of ADHZ, with dichotomous utilities and a strongly connected demand graph, which does not admit an equilibrium. 4. A rational convex program for HZ under dichotomous utilities; a combinatorial polynomial time algorithm for this case was given in Vazirani and Yannakakis (in: Innovations in theoretical computer science, pp 59–15919, 2021). The <span>\\(\\epsilon\\)</span>-approximate ADHZ model fills a void in the space of general mechanisms for one-sided matching markets; see details in the paper.</p></div>","PeriodicalId":55586,"journal":{"name":"Autonomous Agents and Multi-Agent Systems","volume":"38 2","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"One-sided matching markets with endowments: equilibria and algorithms\",\"authors\":\"Jugal Garg, Thorben Tröbst, Vijay Vazirani\",\"doi\":\"10.1007/s10458-024-09670-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The Arrow–Debreu extension of the classic Hylland–Zeckhauser scheme (Hylland and Zeckhauser in J Polit Econ 87(2):293–314, 1979) for a one-sided matching market—called ADHZ in this paper—has natural applications but has instances which do not admit equilibria. By introducing approximation, we define the <span>\\\\(\\\\epsilon\\\\)</span><i>-approximate ADHZ model</i> and give the following results. 1. Existence of equilibrium under linear utility functions. We prove that the equilibrium allocation satisfies Pareto optimality, approximate envy-freeness, and approximate weak core stability. 2. A combinatorial polynomial time algorithm for an <span>\\\\(\\\\epsilon\\\\)</span>-approximate ADHZ equilibrium for the case of dichotomous, and more generally bi-valued, utilities. 3. An instance of ADHZ, with dichotomous utilities and a strongly connected demand graph, which does not admit an equilibrium. 4. A rational convex program for HZ under dichotomous utilities; a combinatorial polynomial time algorithm for this case was given in Vazirani and Yannakakis (in: Innovations in theoretical computer science, pp 59–15919, 2021). The <span>\\\\(\\\\epsilon\\\\)</span>-approximate ADHZ model fills a void in the space of general mechanisms for one-sided matching markets; see details in the paper.</p></div>\",\"PeriodicalId\":55586,\"journal\":{\"name\":\"Autonomous Agents and Multi-Agent Systems\",\"volume\":\"38 2\",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Autonomous Agents and Multi-Agent Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10458-024-09670-9\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Autonomous Agents and Multi-Agent Systems","FirstCategoryId":"94","ListUrlMain":"https://link.springer.com/article/10.1007/s10458-024-09670-9","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
摘要
经典的海兰德-泽克豪泽计划(Hylland and Zeckhauser in J Polit Econ 87(2):293-314,1979)的阿罗-德布雷乌扩展(本文称为 ADHZ)在单边匹配市场中有着自然的应用,但也有不承认均衡的实例。通过引入近似,我们定义了近似 ADHZ 模型,并给出了以下结果。1.线性效用函数下均衡的存在性。我们证明均衡分配满足帕累托最优性、近似无嫉妒性和近似弱核心稳定性。2.针对二分效用以及更普遍的双值效用情况,我们提出了一种近似 ADHZ 均衡的组合多项式时间算法。3.ADHZ 的一个实例,具有二分效用和强连接需求图,它不承认均衡。4.Vazirani 和 Yannakakis 在《理论计算机科学的创新》(Innovations in theoretical computer science, pp 59-15919, 2021)中给出了这种情况下 HZ 的合理凸程序。(\epsilon/)-近似 ADHZ 模型填补了单边匹配市场一般机制领域的空白;详见论文。
One-sided matching markets with endowments: equilibria and algorithms
The Arrow–Debreu extension of the classic Hylland–Zeckhauser scheme (Hylland and Zeckhauser in J Polit Econ 87(2):293–314, 1979) for a one-sided matching market—called ADHZ in this paper—has natural applications but has instances which do not admit equilibria. By introducing approximation, we define the \(\epsilon\)-approximate ADHZ model and give the following results. 1. Existence of equilibrium under linear utility functions. We prove that the equilibrium allocation satisfies Pareto optimality, approximate envy-freeness, and approximate weak core stability. 2. A combinatorial polynomial time algorithm for an \(\epsilon\)-approximate ADHZ equilibrium for the case of dichotomous, and more generally bi-valued, utilities. 3. An instance of ADHZ, with dichotomous utilities and a strongly connected demand graph, which does not admit an equilibrium. 4. A rational convex program for HZ under dichotomous utilities; a combinatorial polynomial time algorithm for this case was given in Vazirani and Yannakakis (in: Innovations in theoretical computer science, pp 59–15919, 2021). The \(\epsilon\)-approximate ADHZ model fills a void in the space of general mechanisms for one-sided matching markets; see details in the paper.
期刊介绍:
This is the official journal of the International Foundation for Autonomous Agents and Multi-Agent Systems. It provides a leading forum for disseminating significant original research results in the foundations, theory, development, analysis, and applications of autonomous agents and multi-agent systems. Coverage in Autonomous Agents and Multi-Agent Systems includes, but is not limited to:
Agent decision-making architectures and their evaluation, including: cognitive models; knowledge representation; logics for agency; ontological reasoning; planning (single and multi-agent); reasoning (single and multi-agent)
Cooperation and teamwork, including: distributed problem solving; human-robot/agent interaction; multi-user/multi-virtual-agent interaction; coalition formation; coordination
Agent communication languages, including: their semantics, pragmatics, and implementation; agent communication protocols and conversations; agent commitments; speech act theory
Ontologies for agent systems, agents and the semantic web, agents and semantic web services, Grid-based systems, and service-oriented computing
Agent societies and societal issues, including: artificial social systems; environments, organizations and institutions; ethical and legal issues; privacy, safety and security; trust, reliability and reputation
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Agent-based simulation, including: emergent behavior; participatory simulation; simulation techniques, tools and environments; social simulation
Agreement technologies, including: argumentation; collective decision making; judgment aggregation and belief merging; negotiation; norms
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Learning agents, including: computational architectures for learning agents; evolution, adaptation; multi-agent learning.
Robotic agents, including: integrated perception, cognition, and action; cognitive robotics; robot planning (including action and motion planning); multi-robot systems.
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