Global vs Local Social Search in the Formation of Coalitions

Pistolesi, Giuliano; Veneziano, Vito; Castelfranchi, Cristiano

doi:10.1007/978-3-662-03366-1_17

Cited by 1 publication

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“…The correlation between the structural complexity and the average satisfaction level in the system is 0.637: this is a very interesting result, because suggests that certain social organizations (i.e., certain configuration of dependence networks in the system) are more satisfying than others, like proved our previous studies (Pistolesi et al, 1997;Pistolesi and Veneziano, 1998).…”

Section: Simulations and Resultssupporting

confidence: 78%

Complexity and state‐transitions in social dependence networks

Pistolesi

Modesti

2001

Discrete Dynamics in Nature and Society

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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 (Conte and Pistolesi, 2000), a new software system able both to build interdependence networks tipically emerging in Multi-Agent System scenarios and to investigate complexity phenomena, i.e., unstability and state-transitions like Hopf bifurcation (Nowak and Lewenstein, 1994), and to describe social self organization phenomena emerging in these artificial social systems by means of complexity measures similar to those introduced by Hubermann and Hogg (1986). 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 (Schuster, 1988; Ruelle, 1989)

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Section: Simulations and Resultssupporting

confidence: 78%