Abstract
In qualitative modelling, information is lost by abstracting from quantitative formulae. We show that when the behaviour of two similar systems is compared, non-changing quantities from these formulae can have a significant influence on the qualitative prediction. We propose the addition of a new ontological primitive for representing these influences in qualitative models, and provide a calculus for exploiting this primitive in the reasoning process. Augmentation with the new primitive enhances the power of the qualitative simulator, resulting in a more appropriate prediction of behaviour, and also improves the explanation capacities of the model. The latter feature is of major importance for tutoring systems using qualitative reasoning.
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© 1995 Springer-Verlag Berlin Heidelberg
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Bredeweg, B., de Koning, K., Schut, C. (1995). Modeling the influence of non-changing quantities. In: Wainer, J., Carvalho, A. (eds) Advances in Artificial Intelligence. SBIA 1995. Lecture Notes in Computer Science, vol 991. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0034806
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DOI: https://doi.org/10.1007/BFb0034806
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