Carnegie Mellon University computer scientists in 2006 have established that you don’t essentially have to know much about poker to form a computer poker program that can play a success hand of online casino Texas Hold’Em.
Information of poker game theory, which is not the specified expertise of a human poker player had been developed in the poker robot called GS1 developed by Tuomas Sandholm, director of Carnegie Mellon’s Agent-Mediated Electronic Marketplaces Lab, and graduate student Andrew Gilpin.
Even if not so far equal to the best human poker players then at online casino poker UK or USA or Australia or at www.casino.com. Carnegie Mellon University outperformed the two top “poker bots” in playing heads-up in 2006.
Limit Texas Hold’Em in tests at Carnegie Mellon revealed both of GS1’s poker players were commercially available programs like other poker bots, which had incorporated the expertise of human poker players.  Carnegie Mellon University, by contrast, developed its policy after performing a computerized study of poker rules.
Sandholm and Gilpin have ever since developed an enhanced version of their game-theory-based poker program, called GS2. This is the first bot which participated in the American Association for Artificial Intelligence’s first Computer Poker Competition in the 21st National Conference on Artificial Intelligence July 16-20, 2006 in Boston.