带有代理拒绝选项的公平排名最小化机制的策略分析

Yasunori Okumura
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摘要

本研究探讨了公平的等级最小化机制中的策略问题,这种机制选择的分配方式能使代理人被分配的对象类型的平均等级最小化,并满足平等对待的公平属性。作为这些公平机制中的一种,我们考虑了统一等级最小化机制。在没有拒绝选项的情况下,如果使用均匀等级最小化机制,讲真话在战略上不会被任何策略所支配。然而,如果参与者有选择权,那么外部选项降级策略--在不改变真正可接受类型的排序的情况下,揭示所有对象类型都是可接受的--就会在策略上主导讲真话。此外,我们还证明,采用这种策略可能会导致分配效率低下。为了解决这个问题,我们提出了修改后的统一等级最小化机制,尽管它可能会导致代理人策略性地减少可接受类型的数量。
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Strategic Analysis of Fair Rank-Minimizing Mechanisms with Agent Refusal Option
This study examines strategic issues in fair rank-minimizing mechanisms, which choose an assignment that minimizes the average rank of object types to which agents are assigned and satisfy a fairness property called equal treatment of equals. As one of these fair mechanisms, the uniform rank-minimizing mechanism is considered. We particularly focus on the case where agents can refuse their assignment and obtain the outside option instead. Without the refusal option, if the uniform rank-minimizing mechanism is used, truth-telling is not strategically dominated by any strategies. However, if agents have the option, then an outside option demotion strategy -- revealing all object types as acceptable without changing the ranking of truly acceptable ones -- strategically dominates truth-telling. Moreover, we show that adopting this strategy may lead to inefficient assignments. To counter this, we propose the modified uniform rank-minimizing mechanism, though it may lead agents to strategically reduce the number of acceptable types.
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