Abstract
The purpose of this contribution is to learn from the theory of evolution in order to improve the design of modeling processes. The aim of the chapter is to advance the understanding of the evolutionary structural characteristics of modeling processes which lead to better models, and to find design rules for systematically achieving higher model quality. We use a simulation approach, building a System Dynamics model. The simulation-based analysis uncovers several surprising, counterintuitive results and useful insights. These deliver lessons for advancing the design of model-building processes.
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Notes
- 1.
\( q_{QS}^{b} \) was already set at a demanding level, but \( q_{QS}^{u} \) was overstretched.
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Acknowledgement
The author wishes to thank Profs. Franz Pichler and Stefan Ott for their precious comments and encouragement.
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Schwaninger, M. (2015). The Evolution of Models: Uncovering the Path of Model Improvement. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2015. EUROCAST 2015. Lecture Notes in Computer Science(), vol 9520. Springer, Cham. https://doi.org/10.1007/978-3-319-27340-2_17
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DOI: https://doi.org/10.1007/978-3-319-27340-2_17
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