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One of the most important strategies in poker is the art of bluffing, in which a player makes or raises a bet without having the best hand, in order to fool an opponent into folding. "People often think about bluffing as being a psychological phenomenon," Sandholm said. But beyond psychology, "bluffing still emerges as a strategic phenomenon," he said.

Sandholm and his colleagues didn't pre-program Claudico's poker strategy. They wrote algorithms that automatically compute a strategy by trying to find the Nash equilibrium. This concept from game theory was developed by American mathematician John Nash, who was portrayed in the film "A Beautiful Mind." In a noncooperative game, players are said to be in Nash equilibrium if they are making the best decision possible, taking into account the decisions of the other players.

31/05/2023

"I am guessing [a poker-playing AI] will be stronger than the best humans in the world in one to five years," said Tuomas Sandholm, a computer scientist at�Carnegie Mellon University in Pittsburgh, who led the team that created Claudico. But even as AI ability gets closer and closer to that of the best human players, it will take many more poker hands in order to truly declare the program victorious, Sandholm said.

One of AI's best-known achievements occurred when IBM's chess-playing Deep Blue computer beat reigning world champion Garry Kasparov. But unlike chess, poker is a game of incomplete information; players do not have knowledge about the payoffs and strategies of the other players. "Poker is much more relevant for the real world than chess," Sandholm told Live Science.

31/05/2023

Caltech researcher Ralph Adolphs explained that several different parts of the brain might be activated during a particular type of decision-making. And the maps show which parts of the frontal lobe are the most critical areas that, if damaged

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Claudico's poker ability may be impressive, but Sandholm and his colleagues didn't develop the AI just to excel at a card game, they said. The same abilities that make Claudico good at poker can be applied to everything from auctions to cybersecurity. For example, Sandholm and his team developed a similar AI program to figure out which frequencies and energies the military should use for wireless communication in order to avoid signal jamming by an enemy.

When it comes to solving problems with incomplete information, "poker is a great bench mark," Sandholm said.

20/05/2023

Man versus machine

Ever since IBM's Deep Blue defeated Gary Kasparov in their iconic chess match in 1997, AI researchers have been quietly crafting robots that can master more and more human pastimes. In 2014, IBM's Watson defeated the Jeopardy! champion Ken Jennings, and last year, a computer named Claudico — that can "bluff" through Heads-Up No-Limit Texas Hold 'em — gave human poker players a run for their money at a Pittsburgh casino.

However, Go was a much harder nut to crack. The strategy game, which originated in China around 2,500 years ago, relies on deceptively simple rules. Players place white and black stones on a large gridded board in order to encircle most territory. Stones of one color that can touch other friendly stones are said to be alive, while those whose escape routes are cut off are dead.

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An artificial intelligence system has defeated a professional Go player, cracking one of the longstanding grand challenges in the field. What's more, the new system, called AlphaGo, defeated the human player by learning the game from scratch using an approach known as "deep learning," the researchers involved say.

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An artificial intelligence system has defeated a professional Go player, cracking one of the longstanding grand challenges in the field. What's more, the new system, called AlphaGo, defeated the human player by learning the game from scratch using an approach known as "deep learning," the researchers involved say.

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