A Folk Theorem for Indefinitely Repeated Network Games
Andrea Benso

TL;DR
This paper establishes a folk theorem for repeated network games with private monitoring and local communication, showing equilibrium outcomes depend on the network's 2-connectedness.
Contribution
It proves a folk theorem for indefinite repeated network games with private monitoring, linking equilibrium existence to the network's 2-connectedness.
Findings
Folk theorem holds iff the network is 2-connected.
Equilibrium outcomes depend on network connectivity.
Private monitoring and local communication are sufficient for equilibrium.
Abstract
We consider a repeated game in which players, considered as nodes of a network, are connected. Each player observes her neighbors' moves only. Thus, monitoring is private and imperfect. Players can communicate with their neighbors at each stage; each player, for any subset of her neighbors, sends the same message to any player of that subset. Thus, communication is local and both public and private. Both communication and monitoring structures are given by the network. The solution concept is perfect Bayesian equilibrium. In this paper we show that a folk theorem holds if and only if the network is 2-connected for any number of players.
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Taxonomy
TopicsGame Theory and Applications · Opinion Dynamics and Social Influence · Artificial Intelligence in Games
