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Journal of Economic Theory
Article . 2019 . Peer-reviewed
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Article . 2019
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Article . 2017 . Peer-reviewed
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Persuasion with Limited Communication Capacity

Persuasion with limited communication capacity
Authors: Le Treust, Mael; Tomala, Tristan;

Persuasion with Limited Communication Capacity

Abstract

We consider a Bayesian persuasion problem where the persuader and the decision maker communicate through an imperfect channel that has a fixed and limited number of messages and is subject to exogenous noise. We provide an upper bound on the payoffs the persuader can secure by communicating through the channel. We also show that the bound is tight, i.e., if the persuasion problem consists of a large number of independent copies of the same base problem, then the persuader can achieve this bound arbitrarily closely by using strategies that tie all the problems together. We characterize this optimal payoff as a function of the information-theoretic capacity of the communication channel.

Comment: Journal of Economic Theory

Country
France
Keywords

Computer Science - Information Theory, communication channel, Bayesian persuasion, Decision theory, [SHS.INFO] Humanities and Social Sciences/Library and information sciences, [INFO.INFO-GT] Computer Science [cs]/Computer Science and Game Theory [cs.GT], [INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT], mutual information, Mathematics - Optimization and Control, Mathematics - Probability

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    62
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
62
Top 1%
Top 10%
Top 10%
Green
bronze