Nikki Chuang
Jul 28, 2017 · 1 min read

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A computer program running this strategy is the first to “solve” any form of poker: It plays as close to perfectly as is mathematically possible, coming out no worse than even (over many hands), no matter what an opponent holds or does, said computer scientist Michael Bowling of the University of Alberta, who led the research.

「運作此策略模式的電腦程式就是最一開始 “破解” 所有的撲克牌遊戲:遊戲上盡可能接近像數學一般,結果甚至沒有更差(超過許多的一手牌),無論對手握什麼樣的牌或做什麼。」就讀阿爾伯塔大學,帶領這項研究的電腦科學家Michael Bowling表示。

Far from being a frivolous exercise, the poker-playing program, OOOO, could be applied to cybersecurity, medicine or even business negotiations, said Carnegie Mellon University computer scientist Sam Ganzfried, co-author of the program that won the 2014 computer poker competition. “The result is a significant achievement in computer poker and in artificial intelligence,” he said. Computers and games have a long intertwined history. Programs that beat the best human players at checkers, chess, and Jeopardy! have served as test beds for advances in artificial intelligence as well as more mundane matters: strategies used by chess-playing computers, for instance, led to optimization strategies for sewer routing, Bowling said.

「OOOO的撲克牌遊戲程式不算是愚蠢輕浮的遊戲,它能夠被運用在網路安全、藥品甚至是交易上的談判。」就讀卡內基美隆大學的電腦科學家,Sam Ganzfrid, 曾贏得2014年的電腦撲克牌競賽的程式共同作者。他表示「這在電腦撲克牌及人工智慧的領域是項重要的成果。」電腦及遊戲的歷史是長時間交錯在一起的。「這個程式打敗在跳棋、西洋棋還有智力遊戲節目《危險邊緣》的頂尖真人玩家,為了提升人工智慧而作為測試平台的服務,以及更多是日常事務: 舉例來說,使用在國際象棋電腦的策略模式,引導至下水道路線的優化策略模式。」Bowling表示。

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