Title :
Combining qualitative and quantitative simulation: in brief
Author :
Berleant, Daniel
Author_Institution :
Dept. of Comput. Sci., Texas Univ., Austin, TX, USA
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;
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
DOI :
10.1109/AIHAS.1991.138476
