兼顾公平与效率的随机化策略防范机制

Ankang Sun, Bo Chen
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引用次数: 0

摘要

我们研究的是在对物品有私人偏好的代理人之间分配一组不可分割物品的机制设计问题。我们感兴趣的是这样一种机制,它既能防止策略失误(即代理人的最佳策略是报告他们的真实偏好),又能在一定程度上确保公平和效率。我们首先提出了一个不可能的结果,即不存在一个在分配不可分割的家务时不受策略影响、公平且高效的确定性机制。然后,我们利用随机性来克服强不可能性。对于不可分割家务的分配,我们提出了一种随机化机制,这种机制在预期中不受策略影响,而且在事前和事后(两全其美)都是公平有效的。在分配混合物品时,一个物品对一个代理来说可能是物品(即具有正效用),而对另一个代理来说可能是家务(即具有负效用),我们提出了一种随机化机制,当有两个代理时,该机制在预期中不受策略影响,并且具有两全其美的公平性和效率。
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Randomized Strategyproof Mechanisms with Best of Both Worlds Fairness and Efficiency
We study the problem of mechanism design for allocating a set of indivisible items among agents with private preferences on items. We are interested in such a mechanism that is strategyproof (where agents' best strategy is to report their true preferences) and is expected to ensure fairness and efficiency to a certain degree. We first present an impossibility result that a deterministic mechanism does not exist that is strategyproof, fair and efficient for allocating indivisible chores. We then utilize randomness to overcome the strong impossibility. For allocating indivisible chores, we propose a randomized mechanism that is strategyproof in expectation as well as ex-ante and ex-post (best of both worlds) fair and efficient. For allocating mixed items, where an item can be a good (i.e., with a positive utility) for one agent but a chore (i.e., a with negative utility) for another, we propose a randomized mechanism that is strategyproof in expectation with best of both worlds fairness and efficiency when there are two agents.
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