Title :
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
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;
Conference_Titel :
Emerging Technologies and Factory Automation, 1994. ETFA '94., IEEE Symposium on
Conference_Location :
Tokyo, Japan
Print_ISBN :
0-7803-2114-6
DOI :
10.1109/ETFA.1994.402014
