作者: F. Amblard
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摘要: ABSTRACT We focus on the social network component of simulation models. As confronted to choice an in-teraction structure model, “Which ties choose?” is a relevant question for modeller. present dif-ferent models networks originated from different fields. After presenting brief ontology about net-works, we classify into three main parts, theo-retical coming physics and mathematics, statistical issued sociology agent-based economics, cognitive computer sciences. The latter bottom-up approach modelling networks. 1 INTRODUCTION In simulations, results depend which interactions occur between agents order. Therefore both agent scheduling chosen interaction (if any) matter (Axtell 2000). some cases this known priori, instance collective decision-making where determined interviews (Stokman Van Oosten 1994). Moreover, generally, relationships unknown. One must either determine it or test several hypotheses its properties. paper, bestiary choices inter-action structure. mean model influences outputs depends lot agents, won’t try quantify qualify effect. simply propose state art developed in fields, order help modellers choose con-cerning their problematic, so-called “social net-work” during past, have got habit use cellular automata formalism, associ-ated was most often regular grid (Schelling 1971) sometimes classical random graphs (Follmer 1974). But yields always static struc-tures do not evolve simulation. Nowadays, more structure, dynamic, been These having disciplinary origins, will them function original field. Then after introducing first paragraph, mathematical physical theoretical second part. third one, work sociological are general result psycho-sociological theories. Finally, approach, originating sciences sciences, aiming at finding individual rules generation evolution.