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Proceedings Paper

Evaluating model abstractions: a quantitative approach
Author(s): Hessam S. Sarjoughian; Bernard P. Zeigler; Francois E. Cellier
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Paper Abstract

An 'evaluation' approach devised for an inductive reasoning system called logic-based discrete-event inductive reasoner is the focus of this paper. The underlying inductive reasoning methodology utilizes abstractions as its primary means to deal with lack of knowledge. Based on abstractions and their treatments as assumptions, the logic-based discrete-event inductive reasoning system allows non- monotonic predictions. The evaluation approach takes into account explicitly the role of abstractions employed in non- monotonically derived multiple predictions. These predictions are ranked according to the type and number of abstractions used. The proposed evaluation approach is also discussed in relation to the dichotomy of model validation and simulation correctness.

Paper Details

Date Published: 24 August 1998
PDF: 12 pages
Proc. SPIE 3369, Enabling Technology for Simulation Science II, (24 August 1998); doi: 10.1117/12.319355
Show Author Affiliations
Hessam S. Sarjoughian, Univ. of Arizona (United States)
Bernard P. Zeigler, Univ. of Arizona (United States)
Francois E. Cellier, Univ. of Arizona (United States)

Published in SPIE Proceedings Vol. 3369:
Enabling Technology for Simulation Science II
Alex F. Sisti, Editor(s)

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