A METHOD OF CAUSAL ORDERING REASONING UNDER STOCHASTIC CONTEXT

A deep knowledge structure of the physical systems is interpreted, and a method of the modeling in the equilibrium structure under stochastic context is presented. A model of the economical market analysis is set up, and causal ordering analysis and causal effect reasoning analysis are carried out on the model. This method extends modeling and causal reasoning provided by Iwasaki, Simon and de Kleer. Besides, by improving the economical prediction model of Box Jenkins, the model represents the temporal knowledge of multi varibles, and the relation of the history and the future of the variables more easily, and can interpret essentially the structure of the dynamic system.