德撲人機戰 中國龍之隊不敵人工智能冷撲大師

The AI system, called Lengpudashi, won a landslide victory and $290,000 in the five-day competition.

日前，一款被稱爲“冷撲大師”的AI系統，在爲期五天的比賽中以絕對優勢取得勝利，並贏得了29萬美元。

It is the second time this year that an AI program has beaten competitive poker players.

這已經是AI程序今年第二次擊敗有競爭力的撲克牌玩家了。

An earlier version of the program, known as Libratus, beat four of the world's best poker pros during a 20-day game in January.

被稱爲Libratus的早期程序版本，在今年一月份舉行的一項爲期20天的比賽中，擊敗了世界上最好的四名撲克職業選手。

The AI systems were the work of Tuomas Sandholm, a computer science professor at Carnegie Mellon University in the US, and PhD student Noam Brown.

該AI系統是美國卡內基梅隆大學計算機科學教授塔馬斯·桑德霍姆和博士生諾姆·布朗研發的。

The prize money will go to Strategic Machine, a firm founded by the duo.

此次獲勝的獎金將會投入這二人創辦的一家名爲“戰略機器”的公司。

The human team up against Lengpudashi was led by Yue Du, an amateur poker player who won the World Series of Poker $5,000 buy-in, no-limit, Texas Hold'em category last year.

本次與“冷撲大師”較量的人類團隊由杜悅領隊，他是業餘撲克玩家，去年在5000美金買入的無限德州撲克世界系列賽中奪冠。

Mr Du's "Team Dragon" consisted of engineers, computer scientists and investors who attempted to use game theory and their knowledge of machine intelligence to anticipate and counter Lengpudashi's play.

杜悅的“龍之隊”由工程師、計算機科學家和投資者組成，他們試圖利用博弈論及其機器智能的知識來預測和應對“冷撲大師”的發揮。

Unlike chess and Go, in which all the playable pieces are visible on the board, poker is what computer scientists call an "imperfect information game".

不同於象棋與圍棋的所有棋子均可見，撲克被計算機科學家稱爲“不完全信息博弈”。

Like the poker pro-beating Libratus AI program before it, Lengpudashi was run on a supercomputer at Pittsburgh Supercomputing Center.

和之前打敗專業選手的libratus AI程序一樣，“冷撲大師”也是在匹茲堡超級計算中心的一臺超級計算機上運行的。