![]() ![]() While you’ll find everything you need to play a casual game of chess below, we haven’t gone into as much depth on advanced elements such as specific openings, board positions or tournament rules. This guide includes all of the basics you need to know when learning chess, from which square to place the queen on during setup to when to call “checkmate” and claim victory. Whether you’ve just rediscovered chess or are sitting down to play for the very first time, we’ve put together this beginner-friendly guide on how to play. Advanced rules: Promotion, en passant and castling explained.Check and checkmate: Surround your opponent’s king to win.Basic rules: Learn how each chess piece moves and captures.Setup: Which square does the queen go on? Find out as we get ready to play by placing your pieces.We'll talk you through the basic rules, including how to move and capture pieces as well as essential moves to winning, like en passant and castling. After a photo of Lionel Messi and Cristiano Ronaldo playing chess went viral, hit record levels of traffic.Ĭhess is experiencing a renaissance, but if you're new to the game learning the chess rules and different strategies can feel overwhelming. Since 2020 interest in chess has skyrocketed, spurred on by people looking to play online during lockdowns, the popularity of Netflix show The Queen's Gambit and Twitch stars entering the PogChamps tournament and chess boxing. It has been played and loved for centuries, but in recent years it's surged in popularity with scores of new players looking to learn the chess rules. Taken together, our results suggest that there is substantial promise in designing artificial intelligence systems with human collaboration in mind by first accurately modeling granular human decision-making.Chess is one of the oldest board games ever. For a dual task of predicting whether a human will make a large mistake on the next move, we develop a deep neural network that significantly outperforms competitive baselines. We develop and introduce Maia, a customized version of Alpha-Zero trained on human chess games, that predicts human moves at a much higher accuracy than existing engines, and can achieve maximum accuracy when predicting decisions made by players at a specific skill level in a tuneable way. Applying existing chess engines to this data, including an open-source implementation of AlphaZero, we find that they do not predict human moves well. The hundreds of millions of games played online by players at every skill level form a rich source of data in which these decisions, and their exact context, are recorded in minute detail. The aggregate performance of a chess player unfolds as they make decisions over the course of a game. We pursue this goal in a model system with a long history in artificial intelligence: chess. A crucial step in bridging this gap between human and artificial intelligence is modeling the granular actions that constitute human behavior, rather than simply matching aggregate human performance. However, the ways in which AI systems approach problems are often different from the ways people do, and thus may be uninterpretable and hard to learn from. The code for training Maia can be found on our Github Repo.Īs artificial intelligence becomes increasingly intelligent-in some cases, achieving superhuman performance-there is growing potential for humans to learn from and collaborate with algorithms. If you want to see some more examples of Maia's predictions we have a tool here to see where the different models disagree. If you want to be the first to know, you can sign up for our email list here. We are going to be releasing beta versions of learning tools, teaching aids, and experiments based on Maia (analyses of your games, personalized puzzles, Turing tests, etc.). You can read a blog post about Maia from the Computational Social Science Lab or Microsoft Research. ![]() Read the full research paper on Maia, which was published in the 2020 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2020).
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