Systemic simulation implies very difficult problems. It has to reproduce in a satisfactory way the nonlinear character of the complex system to be modelled (once well and clearly defined in relation to the modelizer aims) and their possible chaotic behavior.
There seems to be still much ground to cover in order to complete a good theory of such simulation.
H. PRAEHOFER states: "Through the complexity of real systems, a fully comprehensive model of a real system is infeasible to build." (1991, p.300, quoting B. ZEIGLER). He adds: "Modeling always means idealization, abstraction, and simplification. Only some aspects, the aspects of the real system relevant for the objectives in hand, may be incorporated into the model" (Ibid).
Until now the best systemic modelization methodology seems to be ZEIGLER's "Multifacetted modeling methodology whose central concept is the "system entity structure" (1994, p.169-178).
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Bertalanffy Center for the Study of Systems Science (2020). Title of the entry. In Charles François (Ed.), International Encyclopedia of Systems and Cybernetics (2). Retrieved from www.systemspedia.org/[full/url]
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