Aggregation in model-based reasoning using prime models: A preliminary report

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In earlier work, we presented representations of physical systems at two levels of abstraction. Domain models represent particular physical systems whereas prime models are the higher level abstraction, representing general knowledge about a class of domain models. For example, a domain model of a circulatory system is a particular system of a corresponding prime model of a class of flow systems. This paper presents how domain models can be aggregated into intermediate levels, each of which can be realized as an instance of a corresponding abstract prime model. One advantage of model aggregation is its ability to reason from first principle at different levels of decomposition. This is especially desirable when dealing with large and complex physical systems.

Original languageEnglish
Title of host publicationProceedings - ICCI 1992
Subtitle of host publication4th International Conference on Computing and Information
EditorsPeter E. Lauer, Anestis A. Toptsis, Waldemar W. Koczkodaj
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages292-295
Number of pages4
ISBN (Electronic)081862812X, 9780818628122
DOIs
StatePublished - 1992
Event4th International Conference on Computing and Information, ICCI 1992 - Toronto, Canada
Duration: May 28 1992May 30 1992

Publication series

NameProceedings - ICCI 1992: 4th International Conference on Computing and Information

Conference

Conference4th International Conference on Computing and Information, ICCI 1992
CountryCanada
CityToronto
Period05/28/9205/30/92

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    Hewett, R. (1992). Aggregation in model-based reasoning using prime models: A preliminary report. In P. E. Lauer, A. A. Toptsis, & W. W. Koczkodaj (Eds.), Proceedings - ICCI 1992: 4th International Conference on Computing and Information (pp. 292-295). [227651] (Proceedings - ICCI 1992: 4th International Conference on Computing and Information). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCI.1992.227651