This paper studies the probability of error associated with the social
m...
This work studies networked agents cooperating to track a dynamical stat...
Observations collected by agents in a network may be unreliable due to
o...
Adaptive social learning is a useful tool for studying distributed
decis...
This work studies the learning process over social networks under partia...
This work proposes a decentralized architecture, where individual agents...
This work proposes a multi-agent filtering algorithm over graphs for
fin...
In this paper we study the problem of social learning under multiple tru...
A common assumption in the social learning literature is that agents exc...
This work proposes a new way of combining independently trained classifi...
This work proposes a novel strategy for social learning by introducing t...
This work studies social learning under non-stationary conditions. Altho...
In social learning, agents form their opinions or beliefs about certain
...
We consider a social learning problem, where a network of agents is
inte...
This work studies the learning abilities of agents sharing partial belie...