Computer poker program sets its own Texas Hold'em strategy

A Carnegie Mellon University computer scientist has demonstrated that you don't necessarily need to know much about poker to create a computer program that can play a winning hand of Texas Hold'Em. A knowledge of game theory, not the specialized expertise of a human poker player, is at the heart of the poker robot called GS1 developed by Tuomas Sandholm, director of Carnegie Mellon's Agent-Mediated Electronic Marketplaces Lab, and graduate student Andrew Gilpin.

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<p><a href="http://www.physorg.com/news71471281.html">Computer poker program sets its own Texas Hold'em strategy</a></p> <p>A Carnegie Mellon University computer scientist has demonstrated that you don't necessarily need to know much about poker to create a computer program that can play a winning hand of Texas Hold'Em. A knowledge of game theory, not the specialized expertise of a human poker player, is at the heart of the poker robot called GS1 developed by Tuomas Sandholm, director of Carnegie Mellon's Agent-Mediated Electronic Marketplaces Lab, and graduate student Andrew Gilpin.</p>