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doi: 10.1177/003754978905200303pmid: N/A
Qualitative methodology in simulation requires high level model ing 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 pro cess abstraction and discovery during model evolution. We will refer to the evolutionary process as simulation model engineer ing. 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.
Beck, Howard W.; Fishwick, Paul A.
doi: 10.1177/003754978905200304pmid: N/A
We explore an approach to merging simulation and natural language in which conceptual structures are used which can repre sent the structure and meaning of sentences as well as basic mathematical concepts. Sentences can be transformed to these structures, and, via language generation, the structures can be transformed into mathematical equations. The process is illustrated using a text description of a plankton respiration model. The ap proach shows how qualitative natural language statements can be merged with both qualitative and quantitative modeling and simulation.
Vesanterä, Pentti J.; Cellier, François E.
doi: 10.1177/003754978905200305pmid: N/A
In this paper, qualitative simulation is applied to reason induc tively about the behavior of a quantitatively simulated aircraft model, to determine on-line when a malfunction occurs in the quantitative model, to hypothesize about the nature of this malfunction, and to decide upon a global strategy that allows to operate (control) the quantitative aircraft model under the modified flying conditions.
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