One-on-one, machine nips poker experts

Human pride took a hit 11 years ago when IBM's Big Blue computer beat world chess champion Gary Kasparov. Now it's poker players' turn to be humiliated by a machine.

A computer system called Polaris outperformed some of the world's top players last weekend at a human-vs.-machine competition in Las Vegas.

The score was computer 3, humans 2, with one draw.

If you think it should be easier for a computer to win at poker than at the highly intellectual game of chess, think again.

The human element makes poker a much more complex challenge.

“Poker is a completely different game,” said computer scientist Michael Bowling, the leader of a Computer Poker Research Group at the University of Alberta, Canada.

“In chess or checkers, you have perfect information. There are no secrets on the board,” Bowling said.

“But in poker, you don't know the other person's cards. The basic computer techniques used in chess can't help you in poker.”

The poker computer project may have practical applications beyond the card room. For example, Bowling said pokerlike skills might be useful in bidding auctions in which multiple companies are competing for government contracts, or buyers are hunting deals on eBay.

Bowling's team launched Polaris five years ago as a project in artificial intelligence.

At first, it did well against amateur players, but couldn't beat professionals.

Last year, it narrowly lost a match against two poker pros in British Columbia.

This year, a stronger version of Polaris – one that learns how to adapt to an opponent's strategy in midgame – triumphed over seven top-ranked humans drawn from the online poker-training site

So far, the system plays a relatively simple game of two-person Texas Hold 'em. The next goal is to take on games of three or more players.

“That's very challenging,” Bowling said. “There is no perfect strategy to play against multiple players.”