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

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

admin2013-06-17  48
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 a round 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 ma chine? The answer is that the machine doesn’t do anything clever in playing Chess. It uses its blinding speed to do a brute-force(残忍的)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 pat terns, 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(特征)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.
From the passage we know that the author ______.
选项 A、thinks that scientists are about to achieve artificial intelligence
B、doubts whether scientists can ever achieve artificial intelligence
C、does not think that scientists have found real artificial intelligence
D、is sure that scientists have achieved artificial intelligence
答案B
解析 观点态度题。文章第二句说“事实上人工智能可能仅仅是快要实现了，人们还没有真正实现它”。这里作者表达出对人工智能的怀疑态度，后文具体阐述了人工智能所存在的问题。B说作者怀疑科学家是否曾经真正实现过人工智能，符合文意，所以正确。
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