Bayesian Decision Making in Groups is Hard

arXiv: Statistics Theory, 2018.

Cited by: 6|Views3

Abstract:

We address the computations that Bayesian agents in a network undertake in an opinion exchange model, where they repeatedly act on private information, taking myopic actions maximizing expected utility according to a fully rational posterior. We show that such computations are NP-hard for two natural utility functions, including the case ...More

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