Non-Bayesian Social Learning with Gaussian Uncertain Models

Non-Bayesian Social Learning with Gaussian Uncertain Models

© 2020 AACC. Non-Bayesian social learning theory provides a framework for distributed inference of a group of agents interacting over a social network by sequentially communicating and updating beliefs about the unknown state of the world through likelihood updates from their observations. Typically...

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Bibliographic Details
Main Authors: Hare, JZ, Uribe, CA, Kaplan, L, Jadbabaie, A
Other Authors: Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Format: Article
Language:English
Published: IEEE 2023
Online Access:https://hdl.handle.net/1721.1/148600

Internet

https://hdl.handle.net/1721.1/148600

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