We study a class of discrete-time multi-agent systems modeling opinion dynamics with
decaying confidence. We consider a network of agents where each agent has an opinion. At …

We study a model of opinion dynamics introduced by Krause: each agent has an opinion
represented by a real number, and updates its opinion by averaging all agent opinions that …

The process of opinion formation and evolution is an important part of the study of opinion
dynamics. However, the existing opinion dynamics ignore the relationship between opinion …

At the beginning of this century, Hegselmann and Krause proposed a dynamical model for
opinion formation that is referred to as the Bounded Confidence Opinion Dynamics (BCOD) …

We consider in this paper a networked system of opinion dynamics in continuous time,
where the agents are able to evaluate their self-appraisals in a distributed way. In the model …

Most of the distributed protocols for multi-agent consensus assume that the agents are
mutually cooperative and “trustful,” and so the couplings among the agents bring the values …

In this paper we address the consensus problem in the context of networked agents whose
communication graph splits into clusters: interactions between agents in the same cluster …

Recently, significant attention has been dedicated to the models of opinion dynamics in
which opinions are described by real numbers and agents update their opinions …

Unlike many complex networks studied in the literature, social networks rarely exhibit
unanimous behavior, or consensus. This requires a development of mathematical models …

In this paper, we study the consensus problem of discrete-time and continuous-time
multiagent systems with distance-dependent communication networks, respectively. The …