Coordinating the use of qualitative and quantitative knowledge in declarative device modeling

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abstract: We describe several new qualitative representation and reasoning techniques. These techniques allow us to represent both state variables and the interactions between them with varying degrees of precision. This is desirable when we have only partial knowledge about these entities, or when we wish to express approximations to the knowledge we do have. New reasoning strategies have been developed to allow the propagation of different types of values through the different types of interactions to simulate the behavior of a device.

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AbstractWe describe several new qualitative repres We describe several new qualitative representation and reasoning techniques. These techniques allow us to represent both state variables and the interactions between them with varying degrees of precision. This is desirable when we have only partial knowledge about these entities, or when we wish to express approximations to the knowledge we do have. New reasoning strategies have been developed to allow the propagation of different types of values through the different types of interactions to simulate the behavior of a device. ions to simulate the behavior of a device.
AuthorPeter D. Karp  +, and P. Friedl  +
Bibtypetechreport  +
InstitutionKnowledge Systems, AI Laboratory  +
KeyKSL-87-09  +
MonthJanuary  +
NumberKSL-87-09  +
TagComputer science  +
TitleCoordinating the Use of Qualitative and Quantitative Knowledge in Declarative Device Modeling  +
Tr idKSL-87-09  +
Year1988  +
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