A novel knowledge representation model based on factor state space

Knowledge representation is the foundation of artificial intelligence, which is one of the hottest fields of artificial intelligence research. To solve the defect of tradition knowledge representation that a large amount of semantic heterogeneous information results in the difficulty of sharing and exchanging information, first, a framework of the knowledge description is given in the paper, in which all kinds of things and their properties can be expressed and described. Second, concepts of factor and factor space are presented and their formal description methods are proposed. Uncertainty reasoning based on factor state space is analyzed. Finally, oil and gas reservoir protection expert system was developed and verified correctness and practicality of the proposed model. Application of the expert system shows that the proposed model can solve uncertainty reasoning problem, the reasoning results are more correct, and provide the theoretical support for expert system. Research on knowledge representation on factor state space can guide relevant research and application on intelligent engineering.