The recent Netflix series The Queen's Gambit has certainly highlighted to the general public just how complex chess is. Due to the variety of pieces on the board and the different moves that can be made, the game requires the real-time evaluation of many variables: it is important not only to play your own game but also to predict your opponent's, not only regarding the next move but also, and above all, for several moves to come.

It must be said, however, that humans are generally not particularly good at evaluating multiple possible scenarios in a short time and choosing the best one from a purely rational standpoint. As the series The Queen's Gambit also highlights, humans often give in to emotional, instinctive, and therefore irrational impulses. On the contrary, artificial intelligence is very good at solving complex problems, guided exclusively by the objective to be achieved and also exhaustively evaluating the solution space.

Perhaps not everyone knows that back in 1997, artificial intelligence managed to beat a human in a chess game for the first time: the then-reigning champion, Russian Garry Kasparov. In that case, artificial intelligence was embodied by the Deep Blue computer, produced by the American company IBM specifically for the occasion and capable of evaluating 200 million positions per second.

In general, therefore, we refer to artificial intelligence as a computer's ability to solve complex problems by relating different elements to each other. But if we now take artificial intelligence for granted, we might ask ourselves: do computers know they are so intelligent? The complexity of this question requires a space that is not yet available. You can find out more here, so if you want to learn more, you can read this short ebook available on Amazon. If you want to read it for free, you can do so thanks to this link, which allows you to try Kindle Unlimited for free for 30 days, the program that allows unlimited reading of Amazon ebooks during the trial period.