We study a model of learning on social networks in dynamic environments, describing a group of agents who are each trying to estimate an underlying state that varies over time, given access to weak signals and the estimates of their social network neighbors. We study three models of agent behavior. In the fixed response model, agents use a fixed linear combination to incorporate information from their peers into their own estimate. This can be thought of as an extension of the DeGroot model to a dynamic setting. In the best response model, players calculate minimum variance linear estimators of the underlying state. We show that regardless of the initial configuration, fixed response dynamics converge to a steady state, and that the s...
This paper considers a model of observational learning in social networks. Every period, the agents ...
We study a standard model of economic agents on the nodes of a social network graph who learn a bina...
Understanding information exchange and aggregation on networks is a central problem in theoretical e...
We study a model of learning on social networks in dynamic environments, describing a group of agent...
This paper surveys mathematical models, structural results and algorithms in controlled sensing with...
An adaptive network consists of multiple communicating agents, equipped with sensing and learning ab...
This paper addresses the problem of online learning in a dynamic setting. We consider a social netwo...
When individuals in a social network learn about an unknown state from private signals and neighbors...
We consider a set of agents who are attempting to iteratively learn the 'state of the world' from t...
This paper addresses the problem of online learning in a dynamic setting. We consider a social netwo...
This paper addresses the problem of online learning in a dynamic setting. We consider a social netwo...
We consider a model of observational learning in social networks. At every period, all agents choose...
This paper addresses the problem of online learning in a dynamic setting. We consider a social netwo...
This paper considers a model of observational learning in social networks. Every period, the agents ...
Agents learn about a changing state using private signals and their neighbors' past estimates of the...
This paper considers a model of observational learning in social networks. Every period, the agents ...
We study a standard model of economic agents on the nodes of a social network graph who learn a bina...
Understanding information exchange and aggregation on networks is a central problem in theoretical e...
We study a model of learning on social networks in dynamic environments, describing a group of agent...
This paper surveys mathematical models, structural results and algorithms in controlled sensing with...
An adaptive network consists of multiple communicating agents, equipped with sensing and learning ab...
This paper addresses the problem of online learning in a dynamic setting. We consider a social netwo...
When individuals in a social network learn about an unknown state from private signals and neighbors...
We consider a set of agents who are attempting to iteratively learn the 'state of the world' from t...
This paper addresses the problem of online learning in a dynamic setting. We consider a social netwo...
This paper addresses the problem of online learning in a dynamic setting. We consider a social netwo...
We consider a model of observational learning in social networks. At every period, all agents choose...
This paper addresses the problem of online learning in a dynamic setting. We consider a social netwo...
This paper considers a model of observational learning in social networks. Every period, the agents ...
Agents learn about a changing state using private signals and their neighbors' past estimates of the...
This paper considers a model of observational learning in social networks. Every period, the agents ...
We study a standard model of economic agents on the nodes of a social network graph who learn a bina...
Understanding information exchange and aggregation on networks is a central problem in theoretical e...