Discussions about the impact of AI on Go and Chinese chess may vary. Here is one of some possible explanations
1.AI Breakthrough in Go: AlphaGo's victory against Go world champion Lee Sedol in 2016 attracted widespread attention and discussion. The victory was seen as a breakthrough for machines in complex intellectual games, and people began to recognize the potential and capabilities of AI. Go is a complex strategy game with a huge search space and elusive variations, and the victory of AI has made people realize the potential of AI in understanding and responding to complex situations.
2. Characteristics of board games: Although Go and Chinese Xiangqi are both board games, there are differences in rules and strategies. The rules of Go are relatively simple, but there are huge chessboards and extremely complex changes in the situation. In contrast, Chinese chess rules are complex, but the board is small, and the situation changes relatively limited. The breakthrough of AI for Go shows its ability to deal with complex problems, while for Chinese chess, the development of AI may be relatively slow.
3. Resource investment and research focus: Go has a higher visibility and influence in the world, so it has received more attention and resource investment in research in the field of artificial intelligence. This has led to the development of AI in Go. In contrast, Chinese chess is relatively less well-known internationally, so it does not receive the same attention and resources in AI research.
However, this is only one of the explanations, and there are other possible reasons why people are more concerned about the impact of AI on Go and ignore Chinese chess. In any case, the development of AI has a profound impact on the study of board games and the understanding of the human mind, from which we can learn from it.