Antisocial learning

Abstract I study a model of social learning within a social dilemma. Some agents independently learn how to profit from a socially harmful action, the rest can only infer this information from public behavior. In all equilibria, if the rate of independent learning is sufficiently low, then beliefs do not converge. Yet, this is asymptotically efficient: almost all agents cooperate. In this case, reducing the publicity of actions can increase social learning and reduce cooperation. However, if the rate of independent learning is high, then beliefs converge to the truth and almost nobody cooperates. Here, allowing limited privacy can increase cooperation.

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Publication Details

Journal
Economic Theory
Published
2025-05-28
DOI
https://doi.org/10.1007/s00199-025-01661-5
Primary Topic
Game Theory and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Antisocial learning

J. Allan Best
Economic Theory
Game Theory and Applications
article

Antisocial learning

J. Allan Best
article en

Abstract

Abstract I study a model of social learning within a social dilemma. Some agents independently learn how to profit from a socially harmful action, the rest can only infer this information from public behavior. In all equilibria, if the rate of independent learning is sufficiently low, then beliefs do not converge. Yet, this is asymptotically efficient: almost all agents cooperate. In this case, reducing the publicity of actions can increase social learning and reduce cooperation. However, if the rate of independent learning is high, then beliefs converge to the truth and almost nobody cooperates. Here, allowing limited privacy can increase cooperation.

Economic Theory
Carnegie Mellon University (US)
Johns Hopkins University, Carnegie Mellon University
Openalex Percentile: Top 87%
Game Theory and Applications
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