One-sided matching markets with endowments: equilibria and algorithms

IF 2 3区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS
Jugal Garg, Thorben Tröbst, Vijay Vazirani
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引用次数: 0

Abstract

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.

Abstract Image

Abstract Image

有禀赋的单边匹配市场:均衡与算法
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。
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来源期刊
Autonomous Agents and Multi-Agent Systems
Autonomous Agents and Multi-Agent Systems 工程技术-计算机:人工智能
CiteScore
6.00
自引率
5.30%
发文量
48
审稿时长
>12 weeks
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 Agent-based system development, including: agent development techniques, tools and environments; agent programming languages; agent specification or validation languages 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 Economic paradigms, including: auction and mechanism design; bargaining and negotiation; economically-motivated agents; game theory (cooperative and non-cooperative); social choice and voting 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. Virtual agents, including: agents in games and virtual environments; companion and coaching agents; modeling personality, emotions; multimodal interaction; verbal and non-verbal expressiveness Significant, novel applications of agent technology Comprehensive reviews and authoritative tutorials of research and practice in agent systems Comprehensive and authoritative reviews of books dealing with agents and multi-agent systems.
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