首页
登录
职称英语
(1) Early in the film "A Beautiful Mind", the mathematician John Nash is seen
(1) Early in the film "A Beautiful Mind", the mathematician John Nash is seen
游客
2024-09-07
37
管理
问题
(1) 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(围棋), 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.
(2) 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. Today, no computer has been able to achieve a skill level beyond that of the casual player.
(3) 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.
(4) Along with intuition, pattern recognition is a large part of the game. While computers are good at processing numbers, people are naturally good at matching patterns. Humans can recognize an acquaintance at a glance, even from the back.
(5) Daniel Bump, a mathematics professor at Stanford, works on a program called GNU Go in his spare time.
(6) "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.
(7) One measure of the challenge the game poses is the performance of Go computer programs. The past five years have yielded incremental improvements but no breakthroughs, said David Fotland, a programmer and chip designer in San Jose, California, who created and sells The Many Faces of Go, one of the few commercial Go programs.
(8) Part of the challenge has to do with processing speed. The typical chess program can evaluate about 300,000 positions in a second, and Deep Blue was able to evaluate some 200 million positions in a second. By midgame, most Go programs can evaluate only a couple of dozen positions each second, said Anders Kierulf, who wrote a program called SmartGo.
(9) In the course of a chess game, a player has an average of 25 to 35 moves available. In Go, on the other hand, a player can choose from an average of 240 moves. A Go-playing computer would need about 30,000 years to look as far ahead as Deep Blue can with chess in three seconds, said Michael Reiss, a computer scientist in London. But the obstacles go deeper than processing power. Not only do Go programs have trouble evaluating positions quickly: they have trouble evaluating them correctly. Nonetheless, the allure of computer Go increases as the difficulties it poses encourages programmers to advance basic work in artificial intelligence.
(10) Reiss, an expert in neural networks, compared a human being’s ability to recognize a strong or weak position in Go with the ability to distinguish between an image of a chair and one of a bicycle. Both tasks, he said are hugely difficult for a computer.
(11) For that reason, Fotland said, "Writing a strong Go program will teach us more about making computers think like people than writing a strong chess program." [br] The main idea of this passage is that_____.
选项
A、Go is a more complex game than chess
B、Go reflects the way human beings think
C、Go players are likely to feel frustrated
D、Go poses a challenge to artificial intelligence
答案
D
解析
此题考查文章主题,从第二段的第一句可以找到线索。
转载请注明原文地址:https://tihaiku.com/zcyy/3747231.html
相关试题推荐
(1)Earlyinthefilm"ABeautifulMind",themathematicianJohnNashisseen
(1)Earlyinthefilm"ABeautifulMind",themathematicianJohnNashisseen
EarlyinthefilmABeautifulMind,the【C1】______JohnNashisseensittingina
EarlyinthefilmABeautifulMind,the【C1】______JohnNashisseensittingina
EarlyinthefilmABeautifulMind,the【C1】______JohnNashisseensittingina
EarlyinthefilmABeautifulMind,the【C1】______JohnNashisseensittingina
EarlyinthefilmABeautifulMind,the【C1】______JohnNashisseensittingina
Inthesentence"Thisbeautifulvillageremainsunknowntotherestoftheworld
Theartististhecreatorofbeautifulthings.Torevealartand【C1】______thear
Theartististhecreatorofbeautifulthings.Torevealartand【C1】______thear
随机试题
InKansas,Missouri,acomputerhelpsfire-fighters.Thecomputercontains【C
Methodsofstudyingvary;whatworks【C1】______forsomestudentsdoesn’twor
ThebombingcampaigninAfghanistanhasworsenedtheenvironmentaldisaster
工程监理工作的核心是进行()。A.组织建设 B.目标控制 C.动态管理
真理的发展是一个()A.真理和谬误相调和的过程 B.真理和谬误相补充的过程
鼻咽部最常见的良性肿瘤是A.混合瘤 B.后鼻孔出血性息肉 C.鼻咽纤维血管瘤
60岁的男性急性肾功能衰竭病人,血钾5.9mmol/L,下列治疗措施有原则性错误
企业收到某机构的捐赠款50万元,该捐赠款应计入企业的()。A、实收资本 B、营
对于颅内压增高病理改变的描述,正确的是A:脑脊液的一部分被挤入椎管内,脑脊液分泌
货币流通是指货币作为()形成的连续不断的运动。A:价值尺度 B:贮藏手段 C
最新回复
(
0
)