摘要翻译：
研究了在任意线性约束条件下，当Agent允许对象之间不受影响时，将对象分配给Agent的问题。我们的主要贡献是通过一种称为约束串行规则的新机制来推广（扩展的）概率串行机制。该机制具有计算效率和公平性，即约束有序效率和同类型Agent之间的无嫉妒性。我们的机制基于线性规划方法，它考虑了所有的约束，并提供了对构成扩展概率串行机制关键部分的代理瓶颈集的重新解释。
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英文标题：
《Constrained Serial Rule on the Full Preference Domain》
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作者：
Priyanka Shende
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最新提交年份：
2020
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分类信息：

一级分类：Economics 经济学
二级分类：Theoretical Economics 理论经济学
分类描述：Includes theoretical contributions to Contract Theory, Decision Theory, Game Theory, General Equilibrium, Growth, Learning and Evolution, Macroeconomics, Market and Mechanism Design, and Social Choice.
包括对契约理论、决策理论、博弈论、一般均衡、增长、学习与进化、宏观经济学、市场与机制设计、社会选择的理论贡献。
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英文摘要：
We study the problem of assigning objects to agents in the presence of arbitrary linear constraints when agents are allowed to be indifferent between objects. Our main contribution is the generalization of the (Extended) Probabilistic Serial mechanism via a new mechanism called the Constrained Serial Rule. This mechanism is computationally efficient and maintains desirable efficiency and fairness properties namely constrained ordinal efficiency and envy-freeness among agents of the same type. Our mechanism is based on a linear programming approach that accounts for all constraints and provides a re-interpretation of the bottleneck set of agents that form a crucial part of the Extended Probabilistic Serial mechanism.
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