Modeling amidst the Microtheories
نویسنده
چکیده
Integrating qualitative reasoning with large-scale knowledge bases provides new challenges. This paper outlines work in progress on developing a new model formulation system to support qualitative reasoning via compositional modeling that can operate in an environment with over a million available facts. Three ideas are discussed: Exploiting microtheories for modeling, using non-monotonic inference, and speculative inference. An implemented algorithm which runs on QP benchmark examples is outlined, and planned extensions are discussed.
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