Towards generating causal explanation: qualitative simulation with association mechanism to quantitative information

Author

Akiyoshi, Masanori ; Nishida, Shogo

Author_Institution

Central Res. Lab., Mitsubishi Electr. Corp., Hyogo, Japan

fYear

1994

fDate

6-10 Nov. 1994

Firstpage

116

Lastpage

123

Abstract

One of the central issues of qualitative reasoning is generating causal explanation in response to a user´s query and the model construction. Constructing an adequate model is crucial in generating explanation in case of large-scale physical systems. This paper describes new mechanisms in the model construction environment, using the causal ordering algorithm and qualitative conversion of numerical data. Our approach involves two key ideas: a qualitative model is constructed from a unique quantitative model, and simulated qualitative behaviors are compared with numerical data. The result of applying the mechanisms to power plants is discussed.<>

Keywords

common-sense reasoning; explanation; large-scale systems; physics fundamentals; power system analysis computing; problem solving; causal explanation; causal ordering algorithm; large-scale physical systems; model construction; power plants; qualitative reasoning; qualitative simulation; quantitative information; quantitative model; Boilers; Electronic mail; Humans; Laboratories; Large-scale systems; Mathematical model; Numerical simulation; Power generation; Power system modeling; Problem-solving;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Technologies and Factory Automation, 1994. ETFA '94., IEEE Symposium on

Conference_Location

Tokyo, Japan

Print_ISBN

0-7803-2114-6

Type

conf

DOI

10.1109/ETFA.1994.402014

Filename

402014