2016年 第11卷 第3期
《机械工程前沿（英文）》 >> 2016年 第11卷 第3期 doi: 10.1007/s11465-016-0372-3
Standard model of knowledge representation
School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
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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 representation 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.
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