… We then examine the consensus among agents in dynamic … In particular, we examine the
case of bounded confidence … to prove the existence of consensus agent states in several time-…

… Similarly to the bounded confidence HK model, we define the scalar influence function ϕ
i j ( x i , x j ) : [ 0 , 1 ] 2 → { 0 , 1 } , i , j ∈ I which is equal to 1 when x j influences the opinion …

… How can we be confident that, when the networked agents comply with SJT notions, a random
graph model would continue to nurture a consensus state as an emergent behavior? The …

… local consensus value. The aim of this paper is to propose a model of bounded confidence
… To do so, we make use of the notion of bipartite consensus introduced in [1]. Its main feature …

… great influence on the quality of consensus reaching. Therefore, in the future, we will
investigate the bounded confidence consensus reaching considering the strategic manipulation …

… This work shows that the bounded confidence Hegselmann-Krause opinion dynamics
model yields nontrivial results in network topologies. In particular, we show that randomness …

… more than a certain confidence level. … consensus model with a bounded confidence-based
feedback mechanism to promote the consensus level among decision-makers with bounded …

… Using all three types of networks, we discuss the number of steady-state opinion groups
and phenomena such as a confidence-bound threshold for a transition from consensus to …

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) …

… A generic feature of bounded confidence type models is the formation of clusters of … bounded
confidence dynamics with the goal of inducing unconditional convergence to a consensus. …