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๐Ÿ“š Kramnik and AlphaZero: How To Rethink Chess


๐Ÿ’ก Newskategorie: IT Security Nachrichten
๐Ÿ”— Quelle: slashdot.org

Vladimir Borisovich Kramnik, a Russian chess grandmaster, writing at Chess.com: The increasing strength of chess engines, the millions of computer games and the volumes of opening theory available to every player are making top-level chess less imaginative. Decisive games in super-tournaments have declined, while the number of games with what I'd call "creative" content is also on the slide. [...] From my own experience, I know how difficult it has become to force a complex and interesting fight if your opponent wants to play it safe. As soon as one side chooses a relatively sterile line of play, the opponent is forced to follow suit, leading to an unoriginal game and an inevitably drawish outcome. Of course, there are still some fascinating top-level games being played, but to keep chess alive, I believe we must reverse this trend before the game's spirit fades away. So I started thinking, if the outcome is always the same, perhaps there's something we can do to reinvigorate the game. I spoke with Demis Hassabis, the founder and CEO of the artificial intelligence lab DeepMind. [...] Working with DeepMind researchers Ulrich Paquet and Nenad Tomasev, we used AlphaZero as a petri dish to test different variations and see how the game might unfold. Ultimately, our mission was to find an adjustment to the rules to allow more space for human creativity. [...] My aim was to find a chess variant that would not only have the potential to bring the excitement and decisive victories back to chess, but is also aesthetically pleasing. The goal was to reignite interest and introduce players and audiences to the immense complexity and creativity of the original game of chess. To begin, we tasked AlphaZero with exploring a variant that prevented either side from castling, trying different opening moves from both sides. The outcome was beyond our expectations! We let AlphaZero learn how to play "no-castling chess" from scratch, allowing the program to incrementally learn how to master the game through a process of trial and error, similar to how it taught itself to play classical chess. After playing millions of games, AlphaZero became a no-castling expert, allowing us to analyze how it plays and assess the overall game balance. The win/loss percentages for both White and Black are similar to classical chess, suggesting that the no-castling variant should be quite playable without favoring a particular player. Preventing the king from retreating to a safe distance means that all of the pieces have to engage in the melee, making the play more dynamic and entertaining, with a number of original patterns.

Read more of this story at Slashdot.

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