矩阵约束下不可分割物品的交换

IF 0.8 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS
Jinshan Zhang , Bo Tang , Jianwei Yin
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引用次数: 0

摘要

本文将原有的Sharpley-Scarf市场推广到一个对象可以分配给多个代理,但受制于相应的矩阵约束的情况下,研究了不可分割商品在一组策略代理之间的再分配问题。我们把这个改良后的市场称为矩阵Sharpley-Scarf市场。对于这个一般市场,我们给出了一个帕累托最优的、个体理性的、群体防策略的机制。我们的机制是对顶级交易周期机制和连续独裁者机制的简单而自然的概括。在我们的分析中,我们证明弱核心可能在矩阵Sharpley-Scarf市场中不存在,而一个称为约束核心的宽松版本确实存在。进一步,我们将竞争均衡的概念推广到矩阵Sharpley-Scarf市场,并证明了当且仅当分配能够由我们的机制产生时,分配才是竞争均衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exchange of indivisible goods under matroid constraints

We study the problem of reallocating indivisible goods among a set of strategic agents by generalizing the original Sharpley-Scarf market to the setting where an object can be allocated to multiple agents but subject to an associated matroid constraint. We refer to this modified market as the matroid Sharpley-Scarf market. For this general market, we present a Pareto-optimal, individually rational and group strategy-proof mechanism. Our mechanism is simple and natural generalization of the Top Trading Cycle mechanism and the Serial Dictator mechanism. In our analysis, we demonstrate that the weak core may be absent in the matroid Sharpley-Scarf market, while a relaxed version called the constrained core does exist. Furthermore, we extend the concept called competitive equilibrium to the matroid Sharpley-Scarf market and show that an allocation is a competitive equilibrium if and only if it can be produced by our mechanism.

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来源期刊
Information and Computation
Information and Computation 工程技术-计算机:理论方法
CiteScore
2.30
自引率
0.00%
发文量
119
审稿时长
140 days
期刊介绍: Information and Computation welcomes original papers in all areas of theoretical computer science and computational applications of information theory. Survey articles of exceptional quality will also be considered. Particularly welcome are papers contributing new results in active theoretical areas such as -Biological computation and computational biology- Computational complexity- Computer theorem-proving- Concurrency and distributed process theory- Cryptographic theory- Data base theory- Decision problems in logic- Design and analysis of algorithms- Discrete optimization and mathematical programming- Inductive inference and learning theory- Logic & constraint programming- Program verification & model checking- Probabilistic & Quantum computation- Semantics of programming languages- Symbolic computation, lambda calculus, and rewriting systems- Types and typechecking
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