Abstract
Qualitative methodology in simulation requires high level modeling constructs such as causal graphs, bond graphs, or natural language. Even though there exists a virtual continuum between qualitative and quantitative simulation methods, it is important to discuss qualitative methods since they relate to notions of process abstraction and discovery during model evolution. We will refer to the evolutionary process as simulation model engineering. We define the basic notions of qualitative simulation, give specific examples for a pendulum system, and finally discuss various issues and directions for future work.
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Fishwick, P.A. (1991). Methods for Qualitative Modeling in Simulation. In: Fishwick, P.A., Modjeski, R.B. (eds) Knowledge-Based Simulation. Advances in Simulation, vol 4. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3040-3_3
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DOI: https://doi.org/10.1007/978-1-4612-3040-3_3
Publisher Name: Springer, New York, NY
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