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Multi‐Agent Persuasion: Leveraging Strategic Uncertainty

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  • Tetsuya Hoshino

Abstract

A principal wishes to persuade multiple agents to take a particular action profile. Each agent cares about both a payoff‐relevant state and other agents' actions. The principal discloses information about the state to control the agents' behavior by using their strategic uncertainty. We show that for any nondegenerate prior, the principal can persuade the agents to take an action profile as a unique rationalizable outcome if that action profile satisfies a generalization of risk dominance. Moreover, this result remains true even if each of the agents is allowed to strategically choose whether to receive information from the principal or not.

Suggested Citation

  • Tetsuya Hoshino, 2022. "Multi‐Agent Persuasion: Leveraging Strategic Uncertainty," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(2), pages 755-776, May.
    • Handle: RePEc:wly:iecrev:v:63:y:2022:i:2:p:755-776
    DOI: 10.1111/iere.12546
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    References listed on IDEAS

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    1. Dirk Bergemann & Stephen Morris, 2019. "Information Design: A Unified Perspective," Journal of Economic Literature, American Economic Association, vol. 57(1), pages 44-95, March.
    2. Rubinstein, Ariel, 1989. "The Electronic Mail Game: Strategic Behavior under "Almost Common Knowledge."," American Economic Review, American Economic Association, vol. 79(3), pages 385-391, June.
    3. Atsushi Kajii & Stephen Morris, 1997. "The Robustness of Equilibria to Incomplete Information," Econometrica, Econometric Society, vol. 65(6), pages 1283-1310, November.
    4. Arieli, Itai & Babichenko, Yakov, 2019. "Private Bayesian persuasion," Journal of Economic Theory, Elsevier, vol. 182(C), pages 185-217.
    5. Shadmehr, Mehdi & Bernhardt, Dan, 2011. "Collective Action with Uncertain Payoffs: Coordination, Public Signals, and Punishment Dilemmas," American Political Science Review, Cambridge University Press, vol. 105(4), pages 829-851, November.
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    Cited by:

    1. Li, Fei & Song, Yangbo & Zhao, Mofei, 2023. "Global manipulation by local obfuscation," Journal of Economic Theory, Elsevier, vol. 207(C).

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