Combining qualitative and quantitative simulation: in brief

Author

Berleant, Daniel

Author_Institution

Dept. of Comput. Sci., Texas Univ., Austin, TX, USA

fYear

1991

fDate

1-2 Apr 1991

Firstpage

233

Lastpage

240

Abstract

The author attempts to combine qualitative and numerical simulations, to do information processing tasks that would be difficult using either alone. Advantages of combining qualitative and quantitative simulation are described. Methods for utilizing partial quantitative information about value in the context of qualitative simulation are described. Manipulating representations for partial information about value in the form of intervals, fuzzy intervals and probability distributions are discussed. Probability distributions can be used to infer bounds on probabilities of qualitative behaviors. Q3, an implemented qualitative-quantitative simulator is one example of fine-grained combination of qualitative and quantitative simulation

Keywords

fuzzy set theory; inference mechanisms; information theory; probability; simulation; Q3; fuzzy intervals; information processing; numerical simulations; probability distributions; qualitative simulation; quantitative simulation; Artificial intelligence; Computational modeling; Information processing; Laboratories; NASA; Numerical models; Numerical simulation; Power system modeling; Predictive models; Probability distribution;

fLanguage

English

Publisher

ieee

Conference_Titel

AI, Simulation and Planning in High Autonomy Systems, 1991. Integrating Qualitative and Quantitative System Knowledge, Proceedings of the Second Annual Conference on

Conference_Location

Cocoa Beach, FL

Print_ISBN

0-8186-2162-1

Type

conf

DOI

10.1109/AIHAS.1991.138476

Filename

138476