Consensus formation under bounded confidence

Consensus formation among n experts is modeled as a positive discrete dynamical system in n dimensions. Experts revise their opinion by repeated averaging over the opinions of those experts whom they trust within some range of confidence (BC model). We present a necessary and sufficient condition for reaching a consensus in the uniform BC model. We also extend the BC model to the hierarchic BC model to model hierarchic structures inside the group of experts.