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"That knowledge will be tremendously useful for prognosis after brain injury," Adolphs said in the Caltech statement. "Many people suffer injury to their frontal lobes — for instance, after a head injury during an automobile accident — but the precise pattern of the damage will determine their eventual impairment."
Damage to the brain's frontal lobe is known to impair one's ability to think and make choices. And now scientists say they've pinpointed the different parts of this brain region that preside over reasoning, self-control and decision-making. Researchers say the data could help doctors determine what specific cognitive obstacles their patients might face after a brain injury.
For the study, neuroscientists at the California Institute of Technology (Caltech) examined 30 years worth of data from the University of Iowa's brain lesion patient registry and mapped brain activity in almost 350 people with lesions in their frontal lobes. They linked these maps with data on how each patient performed in certain cognitive tasks.
With this information, the researchers could see exactly which parts of the frontal lobe were critical for different tasks like behavioral control (refraining from ordering a chocolate sundae) and reward-based decision making (trying to win money at a casino), a statement from Caltech explained.
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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.
!["I am guessing [a poker-playing AI] will be stronger than the best humans in the world in one to five years," said Tuoma...](https://img4.medioq.com/629/515/101527776295152.jpg)
"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.
Poker champion D**g Kim goes head-to-head with Claudico at the Brains vs. AI poker competition.
Poker champion D**g Kim goes head-to-head with Claudico at the Brains vs. AI poker competition. (Image credit: Tim Kaulen, Carnegie Mellon University)
One of the most important strategies in
Its win also involved some surprising moves. For instance, AI was more likely than humans to make huge overbets — meaning that they would bet three, five or even 20 times the amount of chips in the pot. Interestingly, those overbets sometimes made mathematical sense in two very different situations.
"With a very strong hand and with the weakest hands, you want to make those big overbets," Sandholm said.
Libratus was also more likely than the humans to underbet in certain surprising situations, Sandholm said. And every night, it went home and adapted its strategy based on the hands it had played.
"The adaptation was not to learn to exploit the opponent, but rather to determine what holes the opponent had found in the AI strategy and automatically patch those holes," Sandholm said.
In the past, that's been a stumbling block. Libratus was involved in a poker tournament in 2015 and couldn't beat the humans, with the match ending in a statistical tie. However, the souped-up version of Libratus used in the recent tournament has a better end-game solving strategy, Sandholm said.
The tournament
For the "Brains vs. Artificial Intelligence" tournament, four of the world's best poker players faced off one-on-one against Libratus in 120,000 hands of poker. At stake was a $200,000 pot, which the human players received even if they lost.
"They are professionals, so they were fighting to the bitter end, really hard," Sandholm said. "They were studying really hard every night on their computers, trying to find holes in the AI."
In the end, it was no contest: The AI prevailed.In the past, that's been a stumbling block. Libratus was involved in a poker tournament in 2015 and couldn't beat the humans, with the match ending in a statistical tie. However, the souped-up version of Libratus used in the recent tournament has a better end-game solving strategy, Sandholm said.
The tournament
For the "Brains vs. Artificial Intelligence" tournament, four of the world's best poker players faced off one-on-one against Libratus in 120,000 hands of poker. At stake was a $200,000 pot, which the human players received even if they lost.
"They are professionals, so they were fighting to the bitter end, really hard," Sandholm said. "They were studying really hard every night on their computers, trying to find holes in the AI."
In the end, it was no contest: The AI prevailed.
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