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对定量分析,研究知识表达进行了尝试,从分维认识论角度出发,结合分维理论,使用信息论中的信息度量原理和方法,对知识表达的信息量、熵等一系列信息度量特征进行了研究,进而对知识表达的最大熵原理、熵增原理进行了探讨.从信息加工角度,提出了知识处理的加工信道的概念,对加工信道的类型、特性、结构进行了分析,指出了它们与人工智能中的推理模型的对应关系.最后,对几种典型的知识表达方式进行了定量化理论分析和评价.
Attempt to quantitatively analyze and study knowledge expression. From the point of view of dimensionality and epistemology, combined with the theory of fractal dimensions and the information measurement principle and method in information theory, a series of information metrics such as information quantity and entropy of knowledge expression are studied , And then discusses the principle of maximum entropy and entropy increase of knowledge expression.From the perspective of information processing, the concept of processing channel for knowledge processing is put forward, and the types, characteristics and structure of processing channel are analyzed, Intelligent reasoning model.Finally, several typical methods of knowledge expression were quantitatively analyzed and evaluated.