When an AI is trained to play an opposing game, such as chess or go, it can become very strong.
I have read in an article (non-scientific) the claim that AI strategies were identified by scientists while an AI was bound to play go games, as well as starcraft games. However it did not tell what these strategies actually were, how they were identified, nor did it explain the configuration in which AI played (AI vs AI? AI vs human?)
Can someone explain it to me? I am familiar with go, not with starcraft, so an explanation about go is appreciated.
I also note that the chess game is not mentioned. Is there any specific feature for chess that makes them inappropriate for strategies? Or is it the behavior of an AI in the chess game that does not allow to identify strategy?
I understand there are plenty of definitions for strategy, and the article did not give one. So let's focus on following significance: Strategy is a group of principles that tell which fields are important to fight for and which are not. A strategy gives long term rewards, which is opposite to tactics with short term rewards obtained thanks to calculation on a specific issue. With this definition, go game stand for a strategic game with a few, well known tactical situations such as line versus line.