Journal of Guangdong University of Technology ›› 2021, Vol. 38 ›› Issue (01): 1-4.doi: 10.12052/gdutxb.200123

• Extenics and Innovation Methods •     Next Articles

Research on the Intelligent Science Theory of Oriental Thinking Based on Factor Driven

Cui Tie-jun1, Li Sha-sha2   

  1. 1. College of Safety Science and Engineering, Liaoning Technical University, Fuxin 123000, China;
    2. School of business administration, Liaoning Technical University, Huludao 125000, China
  • Received:2020-09-14 Online:2021-01-25 Published:2020-12-01

Abstract: The theory of artificial intelligence has become one of the key fields that all countries must contend for in order to safeguard their strategic interests. From the perspective of thinking, artificial intelligence understanding can be divided into Western thinking and Oriental thinking. The former is the mechanical reduction methodology of integration-separation-integration, and the latter is the philosophical thought of interconnection of all things. In the process of studying the theory of safety science and artificial intelligence, some problems are found worthy of study. The process from general domain technology to theory is from analysis to reasoning, from data to factors, from concrete science to philosophy. Artificial intelligence is thought to be factor driven rather than data driven. The thought of factor driven is very important in Chinese traditional philosophy, which accords with the characteristics of Oriental thinking and is also applicable to the basic theory of artificial intelligence. Therefore, the original basic theory of artificial intelligence in China is unique, and the opportunities are greater than the challenges. This fundamentally ensures that the Oriental thinking will win the game between the East and the West in the study of the basic theory of artificial intelligence.

Key words: artificial intelligence, factor driven, oriental thinking, traditional philosophy

CLC Number: 

  • N94-0
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