Title :
Multiple time scaling qualitative simulation using typical patterns
Author :
Ohkawa, Takenao ; Komoda, Norihisa
Author_Institution :
Dept. of Inf. Syst. Eng., Osaka Univ., Japan
Abstract :
A new qualitative simulation method for envisioning behaviors of a system modeled by a structural model is presented. The structural model consists of qualitative causal relations between several factors in the system. For the purpose of reducing ambiguities caused by lack of quantitative information, several typical patterns are introduced, which specify primitive behaviors in equilibrium. The method presented here consists of the following processes: the target structural model is divided into sub-models based on influence propagation speed; the equilibrium in each sub-model is evaluated using typical patterns; and the results for all sub-models are integrated
Keywords :
common-sense reasoning; digital simulation; directed graphs; directed graph; equilibrium; influence propagation speed; multiple time scaling qualitative simulation; primitive behaviors; qualitative causal relations; quantitative information; structural model; Analytical models; Computer simulation; Decision making; Electronic mail; Predictive models; Sections;
Conference_Titel :
Emerging Technologies and Factory Automation, 1993. Design and Operations of Intelligent Factories. Workshop Proceedings., IEEE 2nd International Workshop on
Conference_Location :
Palm Cove-Cairns, Qld.
Print_ISBN :
0-7803-0985-5
DOI :
10.1109/ETFA.1993.396420
