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Qualitative Simulation Modeling and Analysis pp 170–216Cite as

Analogy Theory for a Systems Approach to Physical and Technical Systems

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Part of the book series: Advances in Simulation ((ADVS.SIMULATION,volume 5))

Abstract

Research in the use of analogies in science and technology during the last two centuries reveals that, besides the striking successes of applications of these analogies, there are also dramatic failures, not to speak of sophistic misuses, in the logic reasoning.

Searching for the reasons for success and failure forces us to lose ourselves in a mechanism of analogy-thinking that is governed by logic, this resulting in the creation of a sharp division between analogy-reasoning and analogy-application.

By realistically starting from the idea that an analogy supposes, besides similarities, also differences, it is justifiable to make use of them in systems science. In order to achieve this, in this chapter some conditions are first formulated. Next examples are given that show that the use of analogies is of good service for modeling. With the help of bond-graphs, an analogy can be critically applied, such that it can be seen visually, physically, and mathematically simultaneously and in a recognizable way. The application of algebraic topology in this field makes it possible to design a dual system from a certain original system. Finally, some rigorous conclusions are drawn and recommendations are made with respect to justified use of analogies in multidisciplinary systems approaches. With respect to engineering design, some expectations are entertained.

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Authors
  1. Peter M. A. L. Hezemans
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  2. Leo C. M. M. van Geffen
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Editors and Affiliations

  1. Computer and Information Sciences Department, University of Florida, Gainesville, FL, 32611-2024, USA

    Paul A. Fishwick

  2. Department of Computer Science, California State University, Chico, Chico, CA, 95929-0410, USA

    Paul A. Luker

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Hezemans, P.M.A.L., van Geffen, L.C.M.M. (1991). Analogy Theory for a Systems Approach to Physical and Technical Systems. In: Fishwick, P.A., Luker, P.A. (eds) Qualitative Simulation Modeling and Analysis. Advances in Simulation, vol 5. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-9072-5_8

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  • DOI: https://doi.org/10.1007/978-1-4613-9072-5_8

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