Learning without recall in directed circles and rooted trees

Abstract

This work investigates the case of a network of agents that attempt to learn some unknown state of the world amongst the finitely many possibilities. At each time step, agents all receive random, independently distributed private signals whose distributions are dependent on the unknown state of the world. However, it may be the case that some or any of the… (More)
DOI: 10.1109/ACC.2015.7171992

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