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Systems Modeling

In: Handbook of Systems Sciences

Author

Listed:
  • Shingo Takahashi

    (Waseda University)

Abstract

This chapter comprehensively describes systems modeling, including the roles of modeling, models, and the modeling process. Modeling has three important roles in the systems approach. The first role is to express the current situation as a model. The second role is to express the ideal state of the system. The third role is to represent the recognized problems. In systems science, an object is recognized as a system and expressed as a model. The modeling framework can be summarized as the relationship F(S,A,T,M) of subject S, objective A, prototype T, and model M. System models are primarily classified into four types: input/output, state transition, linear, and decision-making. From the perspective of system functions, model classifications are machine, organic, cybernetic, and complex adaptive. The modeling process consists of five phases: understanding problem situations, identifying relevant systems, clarifying the modeling purpose, identifying and structuring model components, and identifying parameters. Model validation is critically important, and it is performed with both internal criteria and external criteria.

Suggested Citation

  • Shingo Takahashi, 2021. "Systems Modeling," Springer Books, in: Gary S. Metcalf & Kyoichi Kijima & Hiroshi Deguchi (ed.), Handbook of Systems Sciences, chapter 10, pages 267-290, Springer.
    • Handle: RePEc:spr:sprchp:978-981-15-0720-5_4
    DOI: 10.1007/978-981-15-0720-5_4
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