This paper considers a distributed belief averaging problem with sequential observations in
which a group of n> 1 agents in a network, each having sequentially arriving samples of its …

The goal of distributed average consensus in multiagent systems is for the nodes, each
associated with some initial value, to obtain the average (or some value close to the …

We study bounded confidence opinion dynamics on graphs. At each iteration, agents
average their opinions with those of their neighbors in the graph who have similar opinions …

This paper addresses the problem of distributed learning of average belief with sequential
observations, in which a network of n> 1 agents aim to reach a consensus on the average …

This work is devoted to the problem of distributed target tracking when a team of robots
detect the target through a variable perception-latency mechanism. A reference for the …

In distributed inference, cooperation among networked agents can be exploited to enhance
the performance of each individual agent. In this paper, we consider signal classification …

Wireless sensor networks are valid candidate to monitor environmental parameters in
dangerous areas. In many such applications, the sensors first sense the environment and …

Social learning is a collective approach to decentralised decision-making and is comprised
of two processes; evidence updating and belief fusion. In this paper we propose a social …

We present a distributed approach to self-organization in a distributed sensor network. The
agents in the system use a series of negotiations incrementally to form appropriate coalitions …