DocumentCode :
3339992
Title :
Qualitative, causal reasoning about device behavior
Author :
Iwasaki, Yumi
Author_Institution :
Dept. of Comput. Sci., Carnegie-Mellon Univ., Pittsburgh, PA, USA
fYear :
1988
fDate :
25-27 May 1988
Firstpage :
39
Lastpage :
44
Abstract :
The methods of causal ordering provide an operational means to determine the causal relations among the variables in a model of the equilibrium behavior of a device. The author extends the method to dynamic models as well as mixed models of equilibrium and dynamic equations. He defines self-containment for dynamic and mixed structures and describes causal ordering in such structures. For correct application of the method of causal ordering, the equations comprising the model of a device must be such that each of them comes from an understanding of a conceptually distinct mechanism. To ensure that an equation model satisfies this requirement, an explicit representation of the understanding of mechanisms underlying an equation model was developed. Equations are generated automatically from this representation. An example involving the mixed model of an evaporator is used to illustrate the proposed approach
Keywords :
artificial intelligence; knowledge engineering; causal ordering; causal relations; device behavior; dynamic equations; dynamic models; equation model; equilibrium behavior; evaporator; mixed structures; qualitative causal reasoning; self-containment; variables; Aerodynamics; Aerospace electronics; Artificial intelligence; Computer science; Contracts; Equations; Monitoring; Predictive models; Stability analysis; US Department of Defense;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence for Industrial Applications, 1988. IEEE AI '88., Proceedings of the International Workshop on
Conference_Location :
Hitachi City
Type :
conf
DOI :
10.1109/AIIA.1988.13267
Filename :
13267
Link To Document :
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