Evaluating model abstractions: A quantitative approach

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

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

3 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsA.F. Sisti
Pages59-70
Number of pages12
Volume3369
DOIs
StatePublished - 1998
EventEnabling Technology for Simulation Science II - Orlando, FL, United States
Duration: Apr 14 1998Apr 16 1998

Other

OtherEnabling Technology for Simulation Science II
CountryUnited States
CityOrlando, FL
Period4/14/984/16/98

Keywords

  • Abstraction
  • Artificial intelligence
  • Inductive reasoning
  • Model validation
  • Model/simulation evaluation
  • Non-monotonic reasoning
  • Simulation correctness

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

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  • Cite this

    Sarjoughian, H. S., Zeigler, B. P., & Cellier, F. E. (1998). Evaluating model abstractions: A quantitative approach. In A. F. Sisti (Ed.), Proceedings of SPIE - The International Society for Optical Engineering (Vol. 3369, pp. 59-70) https://doi.org/10.1117/12.319355