Social Learning Equilibria
Author(s)
Mossel, Elchanan; Mueller-Frank, Manuel; Sly, Allan; Tamuz, Omer
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We consider social learning settings in which a group of agents face uncertainty regarding a state of the world, observe private signals, share the same utility function, and act in a general dynamic setting. We introduce Social Learning Equilibria, a static equilibrium concept that abstracts away from the details of the given dynamics, but nevertheless captures the corresponding asymptotic equilibrium behavior. We establish strong equilibrium properties on agreement, herding, and information aggregation. Keywords: Consensus; Information Aggregation; Herding
Date issued
2019-10Department
Massachusetts Institute of Technology. Department of MathematicsJournal
Proceedings of the 2018 ACM Conference on Economics and Computation
Publisher
ACM
Citation
Mossel, Elchanan et al., "Social Learning Equilibria." EC '18: Proceedings of the 2018 ACM Conference on Economics and Computation (EC), June 2018, Ithaca NY, Association for Computing Machinery, 2019
Version: Author's final manuscript
ISBN
9781450358293