基于因素驱动的东方思维人工智能理论研究

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

人工智能理论成为当代各国为维护战略利益所必须争夺的重点领域之一。从思维层面对人工智能理解可分为西方思维和东方思维,前者是整分合的机械还原方法论,后者是万物互联的哲学思想。作者在研究安全科学和人工智能的理论过程中发现了一些值得研究的问题。一般领域,技术上升为理论的过程是从解析到推理、从数据到因素、从具体科学到哲学的过程。作者认为人工智能应是因素驱动的,而非数据驱动的科学。因素驱动的思想在中国传统哲学中是极为重要的,符合东方思维特征也适用于人工智能基础理论。因此中国原创人工智能基础理论是独具特色的,面对的机遇大于挑战。这从根本上保证了东方思维在东西方人工智能基础理论研究的博弈中将最终胜出。

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.