求译1——大概意思,通顺

求译1——大概意思,通顺
Artificial Intelligence in the Game of Go
By Katie Hafner
Early in the film “A Beautiful Mind”,the mathematician John Nash is seen sitting in a Princeton courtyard,hunched over a playing board covered with small black and white pieces that look like pebbles.He was playing Go,an ancient Asian game.Frustration at losing that game inspired the real Nash to pursue the mathematics of game theory,research for which he eventually was awarded a Nobel Prize.
In recent years,computer experts,particularly those specializing in artificial intelligence,have felt the same fascination and frustration.Programming other board games has been a relative snap.Even chess has succumbed to the power of the processor.Five years ago,a chess-playing computer called Deep Blue not only beat but thoroughly humbled Garry Kasparov,the world champion at that time.That is because chess,while highly complex,can be reduced to a matter of brute force computation.Go is different.Deceptively easy to learn,either for a computer or a human,it is a game of such depth and complexity that it can take years for a person to become a strong player.To date,no computer has been able to achieve a skill level beyond that of the casual player.
The game is played on a board divided into a grid of 19 horizontal and 19 vertical lines.Black and white pieces called stones are placed one at a time on the grid’s intersections.The object is to acquire and defend territory by surrounding it with stones.Programmers working on Go see it as more accurate than chess in reflecting the ways the human mind works.The challenge of programming a computer to mimic that process goes to the core of artificial intelligence,which involves the study of learning and decision-making,strategic thinking,knowledge representation,pattern recognition and perhaps most intriguingly,intuition.
Danny Hillis,a computer designer and chairman of the technology company Applied Minds,said the depth of Go made it ripe for the kind of scientific progress that came from studying one example in great detail.“We want the equivalent of a fruit fly to study,” Hillis said.“Chess was the fruit fly for studying logic.Go may be the fruit fly for studying intuition.”
Along with intuition,pattern recognition is a large part of the game.
While computers are good at crunching numbers,people are naturally good at matching patterns.Humans can recognize an acquaintance at a glance,even from the back.
Daniel Bump,a mathematics professor at Stanford,works on a program called GNU Go in his spare time.“You can very quickly look at a chess game and see if there's some major issue,” he said.But to make a decision in Go,he said,players must learn to combine their pattern-matching abilities with the logic and knowledge they have accrued in years of playing.

在游戏中的智化去由卡蒂 Hafner 早在电影中 " 美丽的思想 ",数学家约翰纳什在布满看起来像小圆石一样的?暮诎卓榈耐娑禄嶂媳煌溲毡车囊桓銎樟炙苟偻ピ褐斜患骄妥.他正在玩去,一场远古的亚洲游戏.
近几年来,计算机专家,特别地正在专攻智化的人,已经感觉相同的魔力和挫折.
近几年来,计算机专家,特别地正在专攻智化的人,已经感觉相同的魔力和挫折.甚至西洋象棋已经屈从到处理器的力量.在五年以前,一部玩西洋象棋的计算机呼叫深的蓝色不只有打但是彻底地那时贬抑了盖瑞 Kasparov ,世界冠军.那是因为西洋象棋,当高度地复杂的时候,能被转为大约暴力计算.去是不同的.迷惑容易学习,或对于一部计算机或者一个人类,它是如此深度和复杂的一场游戏它能为一个人拿数年成为一个强壮的运动员.约会,计算机已经能够达成一个技术水平超过偶然运动员的.
游戏被利用被区分为一个 19 水平线的格子和 19 条垂直的线董事会.黑白的块呼叫石头每次被放置一在格子的十字路口上.进行中的程序师进行见到它当做更正确的超过西洋象棋在反映方法人类的思想作品方面.进行中的程序师进行见到它当做更正确的超过西洋象棋在反映方法人类的思想作品方面.
丹尼 Hillis,一个计算机设计者和技术公司的主席应用了被说深度的思想去使来自了学习棒的细节一个例子的科学进步的类型它成熟.
丹尼 Hillis,一个计算机设计者和技术公司的主席应用了被说深度的思想去使来自了学习棒的细节一个例子的科学进步的类型它成熟."西洋象棋是学习逻辑的果蝇."西洋象棋是学习逻辑的果蝇.
连同直觉一起,式样承认是游戏的一个大部份.人类能在一瞥之下认识一个相识者,甚至从背面.人类能在一瞥之下认识一个相识者,甚至从背面."你能非常快地看一场西洋象棋游戏而且见到如果有一些主要的议题 ," 他说."你能非常快地看一场西洋象棋游戏而且见到如果有一些主要的议题 ," 他说.But to make a decision in Go,he said,players must learn to combine their pattern-matching abilities with the logic and knowledge they have accrued in years of playing.