Title :
Aggregation in model-based reasoning using prime models: a preliminary report
Author :
Hewett, Rattikorn
Author_Institution :
Dept. of Comput. Sci. & Eng., Florida Atlantic Univ., Boca Raton, FL, USA
Abstract :
The 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 aggregations is its ability to reason from first principles at different levels of decomposition. This is especially desirable when dealing with large and complex physical systems
Keywords :
inference mechanisms; abstract prime model; domain models; first principles reasoning; model aggregations; model-based reasoning; physical systems; Artificial intelligence; Circulatory system; Computational efficiency; Computer science; Humans; Immune system; Inference mechanisms; Natural languages; Problem-solving; Respiratory system;
Conference_Titel :
Computing and Information, 1992. Proceedings. ICCI '92., Fourth International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-8186-2812-X
DOI :
10.1109/ICCI.1992.227651
