Just saw this Facebook notification for our FFR chat host Michael Darling:
Michael went all-in in Texas Hold ‘Em Poker and won $2,441 chips in one hand. World-class playing!
Not bad at all! Unfortunately, a few minutes later this notice appeared:
Michael bet their way to success in Texas Hold ‘Em Poker, walking away with $999.
I’ll leave the atrocious grammar alone for a moment. You win almost $2500 on a single hand, and a while later you cash out having lost over $1400 of that. As they say on the TV shows:
“That’s poker.”
Anyhow, he still finished up by a grand. Not too shabby. If only it were real money!
Michael displayed one of the hallmarks of intelligent gaming behavior in this sequence of events. He quit while he was ahead. Along the way, he had to demonstrate his intelligence repeatedly by placing, raising, and folding bets each at the appropriate time, comparing what he knew about his own hand with what he could surmise about his opponents’ hands, as well as their likely behavior in the face of his next move. He had to play smart when he got good cards, and even smarter when he didn’t.
If a computer could demonstrate the kinds of behaviors that Michael did in winning his $1000 on Facebook poker, we would almost certainly credit it with possessing some level of intelligence. Via GeekPress, New Scientist reports on how last summer a computer program beat some of the world’s best poker players at Limit Texas Hold ‘Em (a slightly less random and complex variation of the game than the No-Limit version that Michael was playing.)
