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taking an (irreversible) action. We define \textit{asymptotic learning} as the fraction of agents taking the correct action … converging to one as a society grows large. Under truthful communication, we show that asymptotic learning occurs if (and under … ``information hubs'', which receive and distribute a large amount of information. Asymptotic learning therefore requires information …
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We study social learning in a social network setting where agents receive independent noisy signals about the truth …
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This paper investigates opinion dynamics and social influence in directed communication networks. We study the theoretical properties of a boundedly rational model of opinion formation in which individuals aggregate the information they receive from their neighbors by using weights that are a...
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We study the perfect Bayesian equilibria of a sequential model of social learning in networks where agents learn about … agents' sets of neighbors are mutually independent. We introduce a new, weaker metric of social learning, information … observing a decision does not greatly alter its informativeness. This characterization allows us to establish positive learning …
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