Abstract
High complexity of forms and behaviour of social-economical systems as well as the level of knowledge about them, do not permit even to exclude the formulation of a mathematical model by transferring the valid laws into the mathematical language. as it is in the case of the technical systems in the mathematical-physical analysis. Problematical gaining of necessary data and mostly the impossibility to repeat these experiments hinders the application of empirical identification methods very often used in complex technical systems. One of the ways how to gain such a model of complex social-economical reality can be system dynamics (SD) established by Prof. J. Forrester [1].
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References
J. W. Forrester: Principles of Systems. Cambridge, MA: Wright-Allen. 1968
J. R. Burns, O. Ulgen, H. W. Beights: An algorithm for converting signed digraphs to Forrester schematics, IEEE Trans. on Systems, Man, and Cybern., Vol. SMC-9, No. 3, 1979
P. JavorskÅ·: An algorithm for optimal control of nonlinear systems. In: this proceedings
M. Kejak: Simulation of fuzzy system dynamics models. In: this proceedings
M. Kejak: Automated Construction of System Dynamics Models. Dissertation, Prague, 1988 (will be published) (in Czech)
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© 1988 Akademie-Verlag Berlin
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Kejak, M., JavorskÅ·, P. (1988). Method of Automated Construction of System Dynamics Models (ACM). In: Sydow, A., Tzafestas, S.G., Vichnevetsky, R. (eds) Systems Analysis and Simulation I. Advances in Simulation, vol 1. Springer, New York, NY. https://doi.org/10.1007/978-1-4684-6389-7_32
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DOI: https://doi.org/10.1007/978-1-4684-6389-7_32
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