  In this paper, we model a decision-making process involving a set of
interacting agents. We use Markovian opinion dynamics, where each agent
switches between decisions according to a continuous time Markov chain.
Existing opinion dynamics models are extended by introducing attractive and
repulsive forces that act within and between groups of agents, respectively.
Such an extension enables the resemblance of behaviours emerging in networks
where agents make decisions that depend both on their own preferences and the
decisions of specific groups of surrounding agents. The considered modeling
problem and the contributions in this paper are inspired by the interaction
among road users (RUs) at traffic junctions, where each RU has to decide
whether to go or to yield.
