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Texas Hold'em poker solved by computer
Card sharks, beware. A new program cannot be beaten at a variety of poker called heads-up limit Texas Hold ¡¯em—at least in a human lifetime—a team of computer scientists reports. Researchers had previously developed unbeatable algorithms for other games such as checkers, but the new work marks the first time scientists have found such an algorithm for—or "solved"—a complex game in which some information about the state of the game (i.e., the cards in his opponent¡¯s hand) remains hidden from the player. The program has yielded insights that could help players improve their game, and the general approach may have real-world usefulness in security and health care applications.

Because of the hidden information and the luck of the draw, the program won't necessarily win every hand, explains computer scientist Michael Bowling of the University of Alberta in Edmonton, Canada, who led the study. But on average the program is so good that a human would have no chance of ever edging ahead of it, even if the two played 60 million hands. So ¡°for all purposes that anyone would ever care about, we¡¯ve solved the game,¡± Bowling says.


(Áß·«)

Although the study of poker may seem like just fun and games, advances in game theory can have real-world applications in areas such as airport security, coast guard patrols, and health care, in which people must make decisions using the limited information available to them. ¡°I think this is an exciting step that this paper makes, and I think it¡¯s part of a broader development¡± in such algorithms, says Vincent Conitzer, a computer scientist at Duke University in Durham, North Carolina. ¡°More and more we¡¯re able to apply them directly to real-life games, whether they be poker or these kinds of strategic situations that come up in security.¡±


http://news.sciencemag.org/math/2015/01/texas-hold-em-poker-solved-computer

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