One side is always calm and calm, and the other side is often passionate and creative. Machines and people's thinking styles are inconsistent, and intelligence is not good or bad, but all the world's major IT companies have always preferred to use the human-machine chess game to test the progress of artificial intelligence. IBM's supercomputer "Deep Blue" once dominated the chess game, Google is using the "Alpha Go" program to challenge the nine-part Li Shishi, and Facebook's artificial intelligence program "Dark Forest" also chose Go to detect labor. Intelligent level. The chess game has been regarded as an advanced challenge related to intelligence since ancient times. Compared with other intelligence tests, the game has the characteristics of direct confrontation. In the nervous game, the opponent has a fine hand, which makes people feel an intellectual stimulation and challenge. Historically, the field of artificial intelligence has been thinking about how to make a machine that will play chess from the very beginning. Almost all of the pioneers of artificial intelligence, including Shannon, the founder of information theory, Turing, the founder of computer science, and John McCarthy, the author of "artificial intelligence," have seriously thought about the problem of making chess machines. The machine really began to challenge human intelligence through chess. It dates back to 1958 to 1959, and the Massachusetts Institute of Technology took the lead in designing chess programs on computers. A few years later, new things that people played chess with computers appeared. Beginning in 1989, IBM's "dark blue" often beat the master of chess, and the advantages of artificial intelligence began to emerge. In 1997, "Deep Blue" called the chess world champion Kasparov and won, which has already made humans feel that intelligence is threatened. As computer functions become more powerful, it is normal for humans to be unable to defeat advanced artificial intelligence programs in chess. Even chess players are found to be cheating in software during official competitions. After the computer challenged human success on chess, everyone's eyes focused on the ancient chess game of Go. For computers, Go is a more "difficult" thing than chess. It is also called the final intellectual pride of human beings. Go is famous for its complexity. There may be three states of black, white and empty at each point of the 361 intersections of the board. The number of possible positions on the board is 3 to the 361th power. This is an astronomical figure. In fact, considering the changes such as robbery and rais, the number of changes is much larger. The current computer cannot exhaust all the moves. More professionally, the difficulty of Go is that its valuation function is very uneven, and a sub-disk may be turned upside down, while the state space is large and there is no global structure. Together, these two points make it impossible for artificial intelligence that has been able to win in chess in the past. This "Alpha Go" dare to call Li Shishi, because it broke through the "fixed" program logic of traditional computers, incorporating self-learning or deep learning ability. This also means that the "Alpha Go" technical architecture uses the human brain neural model instead of relying solely on the "brute force" of the machine. Even then, after tens of millions of machine self-chess and learning, The "courage" that challenges humanity. Choosing Go as a test platform for artificial intelligence levels is ultimately for applications in other industries. As "Alpha Go" developer Hasabis said: "Ultimately, we want to apply this technology to important issues in the real world, such as personal assistant software, such personal assistant software can be online behavior from users. Learn user preferences and make intuitive recommendations for products and events." At present, the problem of intelligence and lack of wisdom in the machine remains unresolved. Even if the computer can beat the human brain in Go, it is only a milestone in the development of artificial intelligence in a certain category, without excessive interpretation. Concerned about surprises
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