Contiguous allocation of indivisible items on a path

IF 2.4 3区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS
Yasushi Kawase, Bodhayan Roy, Mohammad Azharuddin Sanpui
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引用次数: 0

Abstract

We study the problem of allocating indivisible items on a path among agents. The objective is to find a fair and efficient allocation in which each agent’s bundle forms a contiguous block on the line. We examine two natural settings: the fixed-order setting, where the order is predetermined, and the flexible-order setting, where the sequence of agents is unrestricted. In the fixed-order setting, we show that both maximum utilitarian social welfare and egalitarian social welfare can be computed in polynomial time. Moreover, allocations satisfying proportionality, equitability, and the maximin share guarantee can also be computed in polynomial time in this setting. In contrast, checking the existence of an EF1 allocation is NP-complete for binary additive valuations. In the flexible-order setting, we demonstrate that, even when the valuations are binary additive, deciding whether every item can be allocated to an agent who values it is NP-complete. Consequently, we provide two fixed-parameter tractable (FPT) algorithms for maximizing utilitarian social welfare, parameterized by the number of agents and the number of items. Additionally, we present a \(\varvec{1/2}\)-approximation algorithm for a special case. Furthermore, we establish that deciding whether the maximum egalitarian social welfare is at least \(\varvec{2}\) or at most \(\varvec{1}\) is NP-complete for binary additive valuations. We also give two FPT algorithms for maximizing egalitarian social welfare, parameterized by the number of agents and the number of items.

路径上不可分割的项目的连续分配
研究了智能体间路径上不可分割物品的分配问题。目标是找到一个公平和有效的分配,其中每个代理的捆绑在线路上形成一个连续的块。我们研究了两种自然设置:固定顺序设置,其中顺序是预先确定的,以及灵活顺序设置,其中代理的顺序是不受限制的。在定序条件下,我们证明了最大功利主义社会福利和平等主义社会福利都可以在多项式时间内计算出来。此外,在此设置下,还可以在多项式时间内计算出满足比例性、公平性和最大份额保证的分配。相反,对于二元加性赋值,检验EF1分配的存在性是np完全的。在灵活顺序设置中,我们证明了,即使当评估是二元可加性的,决定每个项目是否可以分配给一个评估它的代理是np完全的。因此,我们提供了两种固定参数可处理(FPT)算法,用于最大化功利主义社会福利,由代理数量和项目数量参数化。此外,我们还提出了一种特殊情况下的\(\varvec{1/2}\) -近似算法。进一步,我们证明了二元加性估值的最大平均主义社会福利是否至少为\(\varvec{2}\)或最多为\(\varvec{1}\)是np完全的。我们还给出了两种FPT算法,用于最大化平均主义社会福利,参数化为代理数量和项目数量。
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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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