摘要
文中给出了系统结构深层知识的因果解释，提出了随机环境下平衡结构的建模方法，建立了一种经济市场分析模型，并进行了因果顺序分析和因果效用分析．这些工作扩充了Ｉｗａｓａｋｉ，Ｓｉ－ｍｏｎ以及ｄｅＫｌｅｅｒ的建模和因果推理方法．另外改进了Ｂｏｘ－Ｊｅｎｋｉｎｓ预测模型，使其易于表示多元随机变量的时态，以及历史与未来的关系。
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.
出处
《计算机研究与发展》
EI
CSCD
北大核心
1998年第9期776-780,共5页
Journal of Computer Research and Development
基金
国家自然科学基金
