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

Collective Decision Making using Attractive and Repulsive Forces in Markovian Opinion Dynamics