Simulation of consensus formation models based on Structural Modeling

Consensus formation models are mathematical models for obtaining potential candidates for a group when all group members pursue their individual preferences. In such models, the members often change their preferences based on the group´s global preference which summarizes the overall individual preferences. Based on the theory of partially-filled reachability matrices, the Flexible Interpretive Structural Modeling (FISM) provides a method for developing structural models of complex systems and is expected to be applied to decision-making support systems. In this paper, we propose a method for simulating consensus formation in FISM and study its effectiveness through the experiments with several consensus strategies.