有配额的公共房屋分配及以社区为基础的公用事业的序贯和交换机制

IF 1.1 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Nathanaël Gross-Humbert, Nawal Benabbou, A. Beynier, N. Maudet
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引用次数: 4

摘要

我们考虑将不可分割的项目分配给智能体的问题,其中智能体和项目都被划分为不相交的组。根据之前的公共住房分配工作,每个项目(或房屋)属于一个街区(或建筑物),每个代理被分配一个类型(例如,种族群体)。分配问题包括在尊重多样性约束的情况下,以良好的方式将最多一个项目分配给每个智能体。基于谢林的开创性工作,我们引入了一个通用的个体效用函数,其中代理人的福利不仅依赖于她对物品的偏好,而且还考虑了她自己所在区块中自己类型的代理人的比例。在这种情况下,我们研究了稳定性问题,在这里被理解为缺乏相互改善的互换,我们定义了要求它的成本。然后,我们研究了两种现有分配机制的行为:新加坡使用的顺序机制的适应和基于相互改进项目交换的分布式程序。本文首先介绍了这两种分配机制的理论性质,然后通过实验研究比较了它们在实践中的表现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sequential and Swap Mechanisms for Public Housing Allocation with Quotas and Neighbourhood-based Utilities
We consider the problem of allocating indivisible items to agents where both agents and items are partitioned into disjoint groups. Following previous works on public housing allocation, each item (or house) belongs to a block (or building) and each agent is assigned a type (e.g., ethnicity group). The allocation problem consists in assigning at most one item to each agent in a good way while respecting diversity constraints. Based on Schelling’s seminal work, we introduce a generic individual utility function where the welfare of an agent not only relies on her preferences over the items but also takes into account the fraction of agents of her own type in her own block. In this context, we investigate the issue of stability, understood here as the absence of mutually improving swaps, and we define the cost of requiring it. Then, we study the behaviour of two existing allocation mechanisms: an adaptation of the sequential mechanism used in Singapore and a distributed procedure based on mutually improving swaps of items. We first present the theoretical properties of these two allocation mechanisms, and we then compare their performances in practice through an experimental study.
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来源期刊
ACM Transactions on Economics and Computation
ACM Transactions on Economics and Computation COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
3.80
自引率
0.00%
发文量
11
期刊介绍: The ACM Transactions on Economics and Computation welcomes submissions of the highest quality that concern the intersection of computer science and economics. Of interest to the journal is any topic relevant to both economists and computer scientists, including but not limited to the following: Agents in networks Algorithmic game theory Computation of equilibria Computational social choice Cost of strategic behavior and cost of decentralization ("price of anarchy") Design and analysis of electronic markets Economics of computational advertising Electronic commerce Learning in games and markets Mechanism design Paid search auctions Privacy Recommendation / reputation / trust systems Systems resilient against malicious agents.
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