This project introduces a simulation tool to study complex multi-agent systems in social context. The individual-level model is extended based on the well-known social force model, and it mainly describes how agents/particles interact with each other, and also with surrounding facilities including obstructions and passageways. Most importantly, we introduce a set of arrays to define social relationship of agents/particles in a quantitative manner. Opinion dynamics is integrated with force-based interaction to study complex social phenomena including path-selection activities, social group and herding effect. Very interestingly, the interaction of such agent/particles are not only at physics-level, but at consciousness and unconsciousness level by integrating advanced social-psychological studies.
SocialArray
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