Programming the Game of Go with Artificial Intelligence (AI)

Using artificial intelligence to program the go game (AI) Introduction The go game is an old board game that resisted attempts to automate the behavior of go game against the computer most recently. This document will examine the use of artificial intelligence to help build the Go game plan. In addition, this document describes AI's latest idea. Applying such a concept makes it possible to run Go with a computer program. The history of the game plan of Go will also be checked to take advantage of the mining technology they employ.

In 1954, Professor John McCarthy defined the subject of Artificial Intelligence (AI) as "Science and engineering of intelligent machine manufacturing, especially intelligent computer program". Like all common technologies, AI transitions from the current experimental state to the structure built into most enterprises. All the stories surrounding AI, news, and novels indicate that we are more advanced than developing this technology. However, we are still in the artificial narrow area information (ANI) stage, artificial intelligence does one thing, and Siri and autopilot will be able to steer your aircraft near 90% of your last flight I will do something like that. And the media might make you remind you that AlphaGo is ANI, but it defeated Lee Sedol with the help of just 100 scientists and a lot of distributed machines.

When writing this article, I use the terms "artificial intelligence" (AI) and "machine learning" (ML) more or less. The meanings of these terms are almost the same. This is a silly reason. "Artificial intelligence" has historically been defined as "anything computer can do." For many years, chessing, simulating a dialogue, or recognizing an image requires real artificial intelligence and it is thought that the goal post is moved every time one of the things actually happens I have done it. The phrase "artificial intelligence" is terrible. It may be very close to the way we define ourselves, which makes us different from humans. Therefore, at some point, experts began to use the term "machine learning" to avoid the whole conversation, which stagnated. Just talking about "machine learning" sounds mechanically very strange - even experts talk about artificial intelligence.