  This paper introduces a new model of continuous opinion dynamics with random
noise. The model belongs to the broad class of so called bounded confidence
models. It differs from other popular bounded confidence models by the update
rule, since it is intended to describe how the single person can influence at
the same time a group of several listeners. Moreover, opinion noise is
introduced to the model. Due to this noise, in some specific cases, spontaneous
transitions between two states with a different number of large opinion
clusters occur. Detailed analysis of these transitions is provided, with MC
simulations and ME numerical integration analysis.
