Thank you to everyone who has supplied answers so far. I understand this type of approach discussed so far using an evaluation system. (check every legal move, evaluate every proprosed move for the value of the position – is it good or bad, and keep going, chasing good scoring lines).
But how do these new machine learning engines work? I read that AlphaZero taught itself? I guess I’m confused – wasn’t there some calculation that the sheer number of possible chess moves is an enormous number so how does that sort of system work?
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