Alpha dog is not a real dog, it is a Go program created by artificial intelligence technology. However, just like a real dog, it needs to learn how to play Go.
In fact, the process of Alpha Dog learning Go is somewhat similar to that of us humans. When we learn Go, we need to know the rules of the board, how to play chess, and the characteristics of each piece. Similarly, Alpha dogs also need to learn to master this knowledge.
In order to let Alpha Dog learn to play Weiqi, scientists input the rules of Weiqi and a large number of historical records of Weiqi matches into Alpha Dog’s program. By learning these Go game records, Alpha Dog can understand the moves and the winning or losing situation of different chess games, thus gradually forming its own Go tactics.
When Alpha Dog starts to play chess, it will choose the best placement point according to the current chess situation and its own Go tactics. This process is actually a bit like when we play Go, we decide which move to make according to the current situation and our own ideas.
However, Alpha Dog is different from human beings. When playing Go, it will not be affected by factors such as emotion and fatigue, nor will it be disturbed in any form. Its thinking is completely based on fixed algorithms and data calculation. Therefore, Alpha Dog plays chess at a very high level and can even beat the strongest Go player in the world.
Generally speaking, the principle of Afa Dog playing Go can be summarized in one sentence: "It learns the game records of Go in history, and uses fixed algorithms and data calculation to choose the optimal placement point, and finally achieves the goal of defeating opponents."
