Any systemic model sufficiently general to be used to represent the set of possible transformations for a category of systems.
G. KLIR states: "Since the overall relations among basic variables and those derived from them by various translation rules (e.g. lagged variables) can be utilized for describing a process by which states of the basic variables are generated within the delimited support set, systems on this level are called generative systems".
KLIR gives as examples: "Finite-state machines (deterministic or probabilistic), Markov chains, and differential equations with constant coefficients", and adds: "Each of them characterizes a relation among the variables involved, which does not change with the relevant support set (time or space set). This relation makes it possible to generate specific data sets, one for each initial or boundary condition and for a given support set" (1991, p.53).
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To cite this page, please use the following information:
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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