When we’re not cruising the ocean blue in our yacht, covering poker, eating at the world’s finest dining establishments, playing poker, or doing our current/first wife, the entities that comprise Wicked Chops Enterprises LLC are known to dabble in a little artificial intelligence (AI) because we’re smart like that and frankly, we enjoy a good challenge.
We’ve been doing this kind of research for years. So long that we almost laugh at what the UofA team is doing.
See, one benefit from covering poker is we can program a variety of different playing styles we’ve witnessed from specific players and put them all at one table for OUR little AI robot, who we call Mr. Roboto (at right), to conquer.
For example, along with the top-notch and "simulated" playing styles of pros like Daniel Negreanu, Michael "the Grinder"Mizrachi, Phil Ivey, and Phil Hellmuth, we also fill the table with the "simulated" styles of people like
Anyway, as we’ve discovered and the Canadian team from UofA can back up, poker is a much more useful way to research AI than, say, chess. Says Michael Bowling from UofA:
"Poker has what are currently some of the biggest challenges to (artificial intelligence) systems, and uncertainty is the primary hurdle that we’re facing…but in the real world, knowing everything is just so rare. Everything we do all day long is all about partial information. So poker’s much more representative of what the real world’s like, and in that sense it becomes a much harder problem."
While we totally could’ve told you that years ago, we like to provide an occasional "additional" opinion, because it’s not about us all the time. So read all about the UofA project here.