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Poker-Playing AI 'bot' Carries Long-Range Impact


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Robots playing poker.

The ideas generated by computer poker research are beginning to have applications in medicine and security, says Florida International University professor Sam Ganzfried.

Credit: crow202.org

Florida International University professor Sam Ganzfried is one of the leading experts on computer poker research. He says although the field is only slightly more than 10 years old, the ideas it generates are starting to have applications in medicine and security.

Ganzfried notes the idea is to view an issue as a zero-sum game, as in heads-up poker. For example, he says in medical treatment if the patient wins, the disease loses, or vice versa. Ganzfried says the goal of using artificial intelligence (AI) in this way is to devise a strategy that will do as well as possible in the long run.

He envisions poker as a path to using science to solve a range of complex issues, such as determining the best blend of treatments for an HIV patient, or identifying the most effective methods for protecting airports.

"There are a lot of [nonpoker] situations where multiple agents have private info only they know," Ganzfried says. "[AI] agents have to act strategically. It's only a matter of time before agents make an impact in other areas."

While at Carnegie Mellon University, Ganzfried helped develop Claudico, a program that in 2015 used AI to play 80,000 hands of No Limit Hold 'Em against four of the world's best heads-up poker players.

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