Revisiting the Distortion of Distributed Voting

Aris Filos-Ratsikas, Alexandros A. Voudouris
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Abstract

We consider a setting with agents that have preferences over alternatives and are partitioned into disjoint districts. The goal is to choose one alternative as the winner using a mechanism which first decides a representative alternative for each district based on a local election with the agents therein as participants, and then chooses one of the district representatives as the winner. Previous work showed bounds on the distortion of a specific class of deterministic plurality-based mechanisms depending on the available information about the preferences of the agents in the districts. In this paper, we first consider the whole class of deterministic mechanisms and show asymptotically tight bounds on their distortion. We then initiate the study of the distortion of randomized mechanisms in distributed voting and show bounds based on several informational assumptions, which in many cases turn out to be tight. Finally, we also experimentally compare the distortion of many different mechanisms of interest using synthetic and real-world data.
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重新审视分布式投票的扭曲
我们考虑一种设置,其中代理对备选方案有偏好,并且被划分为不相交的区域。目标是选择一个替代方案作为获胜者,使用的机制是首先根据每个地区的代理人作为参与者的地方选举决定每个地区的代表替代方案,然后选择一个地区代表作为获胜者。先前的研究显示了一类特定的基于确定性多元性的机制的扭曲程度,这取决于有关区域中代理人偏好的可用信息。本文首先考虑了一类确定性机构,并给出了其畸变的渐近紧界。然后,我们开始研究分布式投票中随机机制的失真,并基于几个信息假设显示边界,这些假设在许多情况下被证明是紧密的。最后,我们还通过实验比较了使用合成和现实世界数据的许多不同机制的畸变。
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