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  3. For years there have been endless articles stating that scientists are on the verge of achieving artificial intelligence, that i

For years there have been endless articles stating that scientists are on the verge of achieving artificial intelligence, that i

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问题    For years there have been endless articles stating that scientists are on the verge of achieving artificial intelligence, that it is just around the corner. The truth is that it may be just around the corner, but they haven’t yet found the right clock.    Artificial intelligence aims to build machines that can think. One immediate problem is to define thought, which is harder than you might think. The specialists in the field of artificial intelligence complain, with some justification, that anything that their machines do is dismissed as not being thought. For example, computers can now play very, very good chess. They can’t beat the greatest players in the world, but they can beat just about anybody else. If a human being played chess at this level, he or she would certainly be considered smart. Why not a machine? The answer is that the machine doesn’t do anything clever in playing chess. It uses its blinding speed to do a brute-force search of all possible moves for several moves ahead, evaluates the outcomes and picks the best. Humans don’t play chess that way. They see patterns, which computers don’t.
   This wooden approach to thought characterizes machine intelligence. Computers have no judgment, no flexibility, no common sense. So-called expert systems, one of the hottest areas in artificial intelligence, aim to mimic the reasoning processes of human experts in a limited field, such as medical diagnosis or weather forecasting. There may be limited commercial applications for this sort of thing, but there is no way to make a machine think about anything under the sun, which a teenager can do. The hallmark of artificial intelligence to date is that if a problem is severely restricted, a machine can achieve limited success. But when the problem is expanded to a realistic one, computers fall flat on their display screens. For example, machines can understand a few words spoken individually by a speaker that they have been trained to hear. They cannot understand continuous speech using an unlimited vocabulary spoken by just any speaker.
We learn from the second paragraph that______.
选项 A、the writer thinks that the specialists’ complaints have some reasons
B、anything that the computer does can be regarded as thought
C、it is not very difficult to define thought
D、computers play chess in exactly the same way as humans
答案A
解析 细节题。由第二段第三句可知作者认为科学家的抱怨是有原因的。故答案为A。
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