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


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
Number of pages12
StatePublished - 1998
EventEnabling Technology for Simulation Science II - Orlando, FL, United States
Duration: Apr 14 1998Apr 16 1998


OtherEnabling Technology for Simulation Science II
Country/TerritoryUnited States
CityOrlando, FL


  • 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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