Evaluating model abstractions: a quantitative approach

Hessam S. Sarjoughian; Bernard P. Zeigler; Francois E. Cellier

doi:10.1117/12.319355

24 August 1998 Evaluating model abstractions: a quantitative approach

Hessam S. Sarjoughian, Bernard P. Zeigler, Francois E. Cellier

Proceedings Volume 3369, Enabling Technology for Simulation Science II; (1998) https://doi.org/10.1117/12.319355
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

Hessam S. Sarjoughian, Bernard P. Zeigler, and Francois E. Cellier "Evaluating model abstractions: a quantitative approach", Proc. SPIE 3369, Enabling Technology for Simulation Science II, (24 August 1998); https://doi.org/10.1117/12.319355

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