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.
翻译:我们考虑与对替代方案有偏好并被分割成不相容区的代理人的设置,目标是选择一种替代方案作为胜者,利用一种机制,首先在地方选举的基础上为每个区确定一种有代表性的替代办法,然后由其中的代理人作为参与者,然后选择一个地区代表作为胜者。先前的工作显示,特定类别的基于确定性多元机制的扭曲取决于有关各区代理人偏好的现有信息。在本文中,我们首先考虑整个类型的确定性机制,并显示其扭曲的模糊性。我们接着开始研究在分配投票中随机化机制的扭曲,并根据若干信息假设显示界限,在许多情况下,这些假设变得紧张。最后,我们还实验性地比较了使用合成和真实世界数据的许多不同机制的扭曲性。