Towards generating causal explanation: qualitative simulation with association mechanism to quantitative information
Masanori Akiyoshi, S. Nishida · 2002
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.>