Research On Causal Inference In Strong Artificial Intelligence

So far,the development of artificial intelligence has experienced countless waves.In recent years,with the development and application of big data,cloud computing and deep neural networks,artificial intelligence has entered a new stage of rapid development.In 2017,the game between Ke Jie and AlphaGo completely pushed the awareness of artificial intelligence.Nowadays,the research of artificial intelligence has become the focus of the world.Artificial intelligence technology is gradually changing the world,the trend of intelligence is immutable.Artificial intelligence has brought about Many effects at various levels such as politics,economy,social life,and culture..The rapid development of intelligent technology has penetrated into all aspects of our lives.Artificial intelligence technology can be said to be everywhere,such as smartphones,computers,public transportation,medical facilities,etc.,such a wide range of applications bring our social life great convenience.However,in the face of the development of artificial intelligence technology in full swing,the 2011 Turing Award winner and the father of Bayesian network Judea Pearl believes that research in the field of AI has now entered a dead end,and is deeply immersed in the quagmire of probability.It is advocated that mastering the causal inference ability is the key factor for machines to achieve strong artificial intelligence.This article will conduct a series of analysis and reflection through Judea Pearl ’s criticism of the development of current artificial intelligence,make a clear definition of weak artificial intelligence and strong artificial intelligence,introduce the related concepts of causal inference and the importance of the causal inference of achieving strong artificial intelligence;at the end of the article,I will respond to the singularity of artificial intelligence,and make a prediction of the future development of strong artificial intelligence.