多接收者的贝叶斯说服

Yun Wang
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引用次数: 82

摘要

本文研究说服机制在集体决策中的作用。有偏见的发送者采用贝叶斯说服机制,向一群不知情的接收者提供关于世界未知状态的信号。我们将公开说服与私下说服进行比较。我们发现,在公众说服下,无论产生多少信号,发送者总能达到可能期望收益集的凹闭。在私下劝说下,寄件人的情况略有恶化。我们还提供了私人说服的接受者福利优于公共说服的条件。此外,在发送者和接收者的偏好完全一致的状态下,投票将接收者的私人信息完全聚集起来,而在其他状态下,信息的完全聚集可能会失败。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bayesian Persuasion with Multiple Receivers
This paper investigates the role of persuasion mechanisms in collective decision-making. A biased sender adopts a Bayesian persuasion mechanism to provide a committee of uninformed receivers with signals about the unknown state of the world. We compare public persuasion with private persuasion. We find that the sender can always reach the concave closure of the set of possible expected payoffs under public persuasion, regardless of the number of generated signals. The sender is weakly worse off under private persuasion. We also provide conditions under which the receivers' welfare from private persuasion dominates that from public persuasion. Moreover, voting fully aggregates receivers' private information in the state where the sender and receivers' preferences are perfectly aligned, while full information aggregation may fail in other states.
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