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We study communication in ambiguous environments. Agents communicate individual decisions sequentially. Based on the …, the decisions differ no matter how long the communication lasts. Such persistent disagreements are precluded in Bayesian … frameworks endowed with a common prior. When communication is private and nobody is excluded from it, we show that ambiguity …
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How should an agent (the sender) observing multi-dimensional data (the state vector) persuade another agent to take the desired action? We show that it is always optimal for the sender to perform a (non-linear) dimension reduction by projecting the state vector onto a lower-dimensional object...
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We study the impact of observational learning in large scale congested service systems with servers having heterogenous quality levels and customers that are heterogonously informed about the server quality. Providing congestion information to all customers allows them to avoid congested...
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