Any way to construct a model of a system.
Really complex systems can practically be represented only at the price of gross simplification in some coarse homomorphic form, using for example an aggregation mode. A good example are the models used in Systems Dynamics.
This is not to disparage such models, which are the best available for practical purposes, but only to take a clear view of their limitations.
Only what M. BUNGE calls systems with a "denumerable composition" as "a molecule or an industrial plant" (1979, p.16-7) can be adequately represented by a graph or its equivalent matrix, or the corresponding set of equations.
BUNGE acknowledges that: "Obviously neither the graph nor the matrix representation of a system suffices for all purposes. It represets only the composition, structure and environment of a system with neglect of its dynamics. A more complete representation can only be obtained by setting up a full fledged dynamical theory incorporating and expanding the information contained in the graph or the matrix representation… namely the state space representation (p.19-20).
Even this supposes hypotheses about the system, derived from a more general frame of reference.
- 1) General information
- 2) Methodology or model
- 3) Epistemology, ontology and semantics
- 4) Human sciences
- 5) Discipline oriented
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]
We thank the following partners for making the open access of this volume possible: