πŸ’ This Computer Program Can Beat Anyone at Poker | Live Science

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Bowling said this technology could have diverse uses, ranging from national security, to tracking fare evasion on transit systems, to making decisions about medical treatment. Original article on Live Science. The researchers assumed a person played the computer for 70 years, days per year, for 24 hours a day. Another round of betting follows, and then a fourth card is put on the table, called the "turn. For one, it only works with two-handed games. Using some 4, central processing units for two months β€” equal to about 1, years of computing time β€” it simulates billions of hands of poker. Instead, it builds a table of results before the game starts. Unlike chess or checkers, in poker, one player doesn't always know the past moves of the other players. Other experts have worked on poker-playing computers that are used in casinos, and at least one company says it has designed a machine-learning algorithm that adjusts strategy according to the human player. In the version of hold 'em poker that the computer played, the bets between two players are fixed and the number of raises is limited. Contrary to what many people think, few computer programs actually go through every single permutation, just the ones that produce the best results. For example, the program could help a doctor who needs to make a decision about treatment but is unsure of the possible outcomes. The methods used in the poker program could help doctors identify treatment options with optimal results, or one with the best probability of success. In a three-player game, it is possible that one player could have a terrible strategy for instance, perhaps the player has a tendency to raise all the time , and loses less than the second player, who has a better strategy, resulting in a win for the third player. Please deactivate your ad blocker in order to see our subscription offer. Because poker isn't solvable the way chess or checkers is, Bowling and his team came up with a different set of requirements for calling the game "solved. Researchers developed a computer program that can outplay humans at the game of poker.{/INSERTKEYS}{/PARAGRAPH} The dealer gives each player two cards, called hole cards. Nor have any solved the game in the same mathematically rigorous way. Plus, a player can win a hand when the other players fold. The table of results alone took up some 15 terabytes of computer storage, Bowling said. The computer doesn't calculate every possible hand as it plays. A research team led by Michael Bowling, a professor of computer science at the University of Alberta in Canada, developed a computer program that can outplay humans at a two-player poker game β€” specifically, heads-up limit hold 'em. Imagine instead if chess-playing computers had to look up the results of billions of previous games with a specific configuration of pieces on the board. Therefore, in mathematical terms, the game has imperfect information. Live Science. Similar problems could arise in experiments with two machine players and one human: Even if the two programs didn't collude, it might look that way to a human being. The algorithm goes through all of the possible hands an opposing player could have, and then tallies up the results for each tactic β€” for example, raising, folding or calling the bet i. This differs from chess, where a computer can brute-force calculate moves as the game progresses to get a result that is good enough to win. To get an idea of how big the task is, there are To get there, every human being on Earth would have to play nearly 4, hands of poker. {PARAGRAPH}{INSERTKEYS}Computers have figured out how to win at chess, checkers and tic-tac-toe, and now, a computer program has conquered the game of poker. For comparison, a typical backup drive for a desktop is one terabyte. As billions of hands are played, the program comes up with an optimal strategy β€” that is, it converges on what the best move is for a given hand. Another problem is figuring out how to test three-player games fairly. A round of betting follows, known as the "pre-flop. But the algorithm does have limitations. One experiment could have two humans play the machine, but Bowling said the human players may collude against the machine, even if unintentionally. But none has demonstrated that its exploitability β€” the ability of a perfect human player to beat the machine β€” is as small as the program designed by Bowling's team. The results could have far-reaching implications for other situations that require complex decision-making , such as in foreign policy or medical treatment.