EDMONTON 91裸聊视频� A computer program has learned to win at one of the most complex poker games by copying a very human impulse 91裸聊视频� trusting its gut.

91裸聊视频淚 think there91裸聊视频檚 a lot of similarities to real human intuition,91裸聊视频� said Michael Bowling of the University of Alberta91裸聊视频檚 Computer Poker Research Group.

Teaching poker to computers has been a popular tool in the artificial intelligence community for years.

Unlike games such as chess, no poker player knows what cards other players hold. Having to deal with incomplete information makes poker programs useful in everything from improving public security to helping doctors treat patients with diabetes.

Bowling91裸聊视频檚 lab has long worked on poker and attracted worldwide attention in 2015 for developing Cepheus, a program that was unbeatable in two-handed, fixed-bet Texas Hold 91裸聊视频楨m. The lab91裸聊视频檚 latest achievement, revealed Thursday in the journal Science, went after the much more complex version of Texas Hold 91裸聊视频楨m in which there is no limit on bets.

Cepheus worked by allowing the computer to learn from mistakes. After billions of hands, it developed a 10-terabyte table of probabilities that made it unbeatable.

But that wasn91裸聊视频檛 going to work for no-limit Hold 91裸聊视频楨m.

The fixed-bet version of the game has decision points equal to the number 10 with 14 zeros after it. The no-limit equivalent is 10 with 160 zeros after it.

91裸聊视频淭hat91裸聊视频檚 more than there are atoms in the universe,91裸聊视频� said Bowling 91裸聊视频� way too many to simply crunch through probabilities.

Bowling91裸聊视频檚 team found the answer with a program called Deep Stack.

91裸聊视频淒eep Stack doesn91裸聊视频檛 compute the whole strategy beforehand,91裸聊视频� Bowling said.

91裸聊视频淚t91裸聊视频檚 going to compute how it91裸聊视频檚 going to play on line, as it91裸聊视频檚 playing. It91裸聊视频檚 going to only worry about the decision points it reaches while it plays, and figure out how to play those on the fly, in the middle of the game, much more like a human player.91裸聊视频�

The key is in developing what Bowling calls intuition. Like a human player, Deep Stack trains its instincts through repetition 91裸聊视频� in this case, 10 million poker hands played against itself.

91裸聊视频淒eep Stack will play against itself over and over again until it figures out, 91裸聊视频業 think this is how much it91裸聊视频檚 worth, being in this poker situation,91裸聊视频�91裸聊视频� Bowling said.

That data gets fed into a program that recognizes patterns, which in turn allows Deep Stack to deal with new situations.

91裸聊视频淚f it does a good job, what I should be able to do is feed it a poker situation that91裸聊视频檚 not any of the situations it91裸聊视频檚 seen before, and it should still give me a good answer for how valuable that situation is.

91裸聊视频淚t91裸聊视频檚 going to generalize from all its past experience.91裸聊视频�

Remarkably, Deep Stack doesn91裸聊视频檛 take that much horsepower. While Cepheus required vast amounts of computing ability, Deep Stack can be run on an off-the-shelf gaming laptop.

And it seems to work.

In December, Deep Stack played a tournament of 3,000 hands with 30 poker professionals from around the world. The program beat all 11 professionals who completed all 3,000 hands.

It was the first time a computer beat humans in a two-handed, no-limit game.

91裸聊视频淭here were some players that, even when you showed them that they were losing, they were convinced they were not,91裸聊视频� Bowling recalled. 91裸聊视频漈his is the nature of poker. You can always convince yourself that you just got unlucky.91裸聊视频�

91裸聊视频� Bob Weber, The Canadian Press