中文摘要：

知识表示是人工智能研究的核心。知识表示方法包括谓语逻辑，语义网络，计算机程序语言，数据库，数学模型，图形语言，自然语言，等等。建立在各种各样的知识表示方法之间的内在的连接，一个统一知识表示模型是必要的。根据本体论，系统理论，和控制理论，反映客观世界的变化的知识表示的一个标准模型被建议。模特儿由输入构成，处理，并且输出。这个知识表示方法不是到传统的知识表示方法的一个矛盾。它能以 multivariate 表示知识并且多维。它能也表示过程知识，并且同时，它有一个强壮的能力解决问题。另外，知识表示的标准模型提供一个方法解决非精确和不一致的知识的问题。

英文摘要：

Knowledge representation is the core of artificial intelligence research. Knowledge representation methods include predicate logic, semantic network, computer programming language, database, mathematical model, graphics language, natural language, etc. To establish the intrinsic link between various knowledge representation methods, a unified knowledge representa- tion model is necessary. According to ontology, system theory, and control theory, a standard model of knowledge representation that reflects the change of the objective world is proposed. The model is composed of input, processing, and output. This knowledge representation method is not a contradiction to the traditional knowledge representation method. It can express knowledge in terms of multivariate and multidimensional. It can also express process knowledge, and at the same time, it has a strong ability to solve problems. In addition, the standard model of knowledge representation provides a way to solve problems of non-precision and inconsistent knowledge.