We use cookies to provide you with a better experience. If you continue to use this site, we'll assume you're happy with this. Alternatively, click here to find out how to manage these cookies

hide cookie message
80,258 News Articles

Researchers' robot playing poker

Theory could be applied to e-commerce

Computer scientists have moved beyond figuring out how to beat computerised chess systems and are now tackling automated Texas Hold'Em programs.

Carnegie Mellon University researchers have created a robot that uses knowledge of game theory to beat online Texas Hold'Em programs.

The GS1 poker robot, which makes decisions after analysing poker rules, was created by Tuomas Sandholm, director of Carnegie Mellon's Agent-Mediated Electronic Marketplaces Lab and graduate student Andrew Gilpin. Sandholm says the challenge of developing a poker robot is greater than that of trying to beat a computerised chess program because, unlike chess, poker involves making decisions with incomplete information. You know what pieces an opposing chess player has, but don't know the hand of a competing poker player.

An algorithm used to accommodate such uncertainties to play poker might have applications in e-commerce, such as in auctions, says Sandholm, who has done significant amounts of research on e-commerce. He is chairman and chief scientist of CombineNet, a company that helps large organisations save money and time on procurement.

The latest version of Sandholm's poker robot, dubbed GS2, will partake in the Computer Poker Competition during the National Conference on Artificial Intelligence 16-20 July in Boston.


IDG UK Sites

Best Christmas 2014 UK tech deals, Boxing Day 2014 UK tech deals & January sales 2015 UK tech...

IDG UK Sites

LED vs Halogen: Why now could be the right time to invest in LED bulbs

IDG UK Sites

Christmas' best ads: See great festive spots studios have created to promote themselves and clients

IDG UK Sites

Why Apple shouldn't be blamed for exploitation in China and Indonesia