Complexity and state-transitions in social dependence networks (Q5942599)

Summary: Computation of complexity in social dependence networks is an interesting research domain to understand evolution processes and group exchange dynamics in natural and artificial intelligent Multi-Agent Systems. We perform an agent-based simulation by NET-PLEX, a new software system able both to build interdependence networks typically emerging in multi-agent system scenarios and to investigate complexity phenomena, i.e., unstability and state-transitions like Hopf bifurcation, and to describe social self-organization phenomena emerging in these artificial social systems by means of complexity measures. By performing analysis of complexity in these kind of artificial societies we observed interesting phenomena in emerging organizations that suggest state-transitions induced by critical configurations of parameters describing the social system similar to those observed in many studies on state-transitions in bifurcation chaos.