单选题 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.

单选题 From the passage we know that the author______.
【正确答案】 C
【答案解析】[解析] 句意理解题。根据第一段第二句可知“人工智能可能快要实现了,但是人们还不确定具体的时间。”因此科学家还尚未发现人工智能。
单选题 We learn from the second paragraph that______.
【正确答案】 A
【答案解析】[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。
单选题 The advantage of the computer in playing chess lie in its______.
【正确答案】 B
【答案解析】[解析] 推理判断题。由第二段的后半部分,得出“计算机在下棋时会计算接下来好多种走法,并且每种可能性都算几步棋”以及“而人不会这样”,可以得出计算机在下棋时的优势。
单选题 The characteristic of machine intelligence is its______.
【正确答案】 D
【答案解析】[解析] 句意理解题。第三段的首句“呆板的思维是机器智能的弱点”可知答案为D。
单选题 Which of the following statements about computers is true according to the passage?
【正确答案】 C
【答案解析】[解析]细节题。根据最后一段倒数第二句可知电脑经过训练是可以听懂人们说的一些话的,答案为C。