Winning the Games Scientists Play
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However, it was the style in which AlphaZero plays these games that players may find most fascinating. In Chess, for example, AlphaZero independently discovered and played common human motifs during its self-play training such as openings, king safety and pawn structure. But, being self-taught and therefore unconstrained by conventional wisdom about the game, it also developed its own intuitions and strategies adding a new and expansive set of exciting and novel ideas that augment centuries of thinking about chess strategy.
Instead, AlphaZero is willing to sacrifice material early in a game for gains that will only be recouped in the long-term. But when I saw this move I changed my mind. Surely AlphaGo is creative.
About this book
But AlphaZero is about more than chess, shogi or Go. To create intelligent systems capable of solving a wide range of real-world problems we need them to be flexible and generalise to new situations.
While there has been some progress towards this goal, it remains a major challenge in AI research with systems capable of mastering specific skills to a very high standard, but often failing when presented with even slightly modified tasks. It demonstrates that a single algorithm can learn how to discover new knowledge in a range of settings. Blog AlphaZero: Shedding new light on chess, shogi, and Go. The Scientist as a Face in the Crowd.
The Scientist as a Concertmaster. The Scientist as a Negotiator. The Scientist in Transition. The Scientist in Control. The Scientist in Doubt.
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Winning The Game Scientists Play: Revised Edition
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