Toronto, March 5: A team of scientists has developed an artificial intelligence system called DeepStack that recently defeated professiol poker players. The team of computing scientists from University of Alberta’s Computer Poker Research Group, including researchers from Charles University in Prague and Czech Technical University, said DeepStack bridges the gap between approaches used for games of perfect information with those used for imperfect information games. “Poker has been a longstanding challenge in artificial intelligence,” said Michael Bowling from the University of Alberta, Cada, in the paper published.
“It is the quintessential game of imperfect information in the sense that the players don’t have the same information or share the same perspective while they are playing,” Bowling added.
Imperfect information games are a general mathematical model that describes how decision-makers interact. Artificial intelligence research has a storied history of using parlour games to study these models, but attention has been focused primarily on perfect information games. “We need new AI techniques that can handle cases where decision-makers have different perspectives,” Bowling noted. (IANS)