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...
Main Authors: | , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
IEEE
2023
|
Online Access: | https://hdl.handle.net/1721.1/148600 |