单选题 Since the dawn of human ingenuity, people have devised ever more cunning tools to cope with work that is dangerous, boring, burdensome, or just plain nasty. That compulsion has resulted in robotics—the science of conferring various human capabilities on machines. And if scientists have yet to create the mechanical version of science fiction, they have begun to come close. As a result, the modern world is increasingly populated by intelligent gizmos whose presence we barely notice but whose universal existence has removed much human labor. Our factories hum to the rhythm of robot assembly arms. Our banking is done at automated teller terminals that thank us with mechanical politeness for the transaction. Our subway trains are controlled by tireless robot-drivers. And thanks to the continual miniaturization of electronics and micro-mechanics, there are already robot systems that can perform some kinds of brain and bone surgery with submillimetre accuracy—far greater precision than highly skilled physicians can achieve with their hands alone. But if robots are to reach the next stage of laborsaving utility, they will have to operate with less human supervision and be able to make at least a few decisions for themselves — goals that pose a real challenge. "While we know how to tell a robot to handle a specific error," says Dave Lavery, manager of a robotics program at NASA, "we can't yet give a robot enough 'common sense' to reliably interact with a dynamic world." Indeed the quest for true artificial intelligence has produced very mixed results. Despite a spell of initial optimism in the 1960s and 1970s when it appeared that transistor circuits and microprocessors might be able to copy the action of the human brain by the year 2010, researchers lately have begun to extend that forecast by decades if not centuries. What they found, in attempting to model thought, is that the human brain's roughly one hundred billion nerve cells are much more talented — and human perception far more complicated — than previously imagined. They have built robots that can recognize the error of a machine panel by a fraction of a millimeter in a controlled factory environment. But the human mind can glimpse a rapidly changing scene and immediately disregard the 98 percent that is irrelevant, instantaneously focusing on the monkey at the side of a winding forest road or the single suspicious face in a big crowd. The most advanced computer systems on Earth can't approach that kind of ability, and neuroscientists still don't know quite how we do it.
单选题 Human ingenuity was initially demonstrated in______.
【正确答案】 C
【答案解析】解析:本题可参照文章的第1段。从中可知,从人类最初有了智慧至今,人们一直在设计日益巧妙的工具来处理那些危险的、枯燥的、繁重的或者只是一般的肮脏的工作。这样一种需求导致了机器人技术的产生。据此可知,C项与文章的意思相符,因此C项为正确答案。
单选题 The word "gizmos"(Line 1, Para. 2)most probably means______.
【正确答案】 C
【答案解析】解析:本题可参照文章的第2段。从中可知,当今世界出现了越来越多的智能设备,虽然我们几乎注意不到它们,但是它们的广泛存在已经使人们摆脱了许多劳动。接着列举了机器人组装臂、自动柜员机终端、机器人司机以及以亚毫米的精确度做某些脑部和骨科手术的机器人系统。据此可知,gizmos一词最可能指的是人们的发明。C项与文章的意思相符,因此C项为正确答案。
单选题 According to the text, what is beyond man's ability now is to design a robot that can______.
【正确答案】 D
【答案解析】解析:本题可参照文章的第3段。从中可知,如果机器人想要进入下一个省劳力的阶段,那它们必须能在更少的人的监控下运行,并至少能够独立地做一些决定——那是真正具有挑战力的目标。Dave Lavery说,“虽然我们知道告诉机器人如何去处理一个特定的错误,但我们还不能给机器人足够的‘常识’使其能够与这个动态的世界进行可靠的交流”。据此可知,目前人类设计的机器人还不能单独发挥作用。D项与文章的意思相符,因此D项为正确答案。
单选题 Besides reducing human labor, robots can also______.
【正确答案】 B
【答案解析】解析:本题可参照文章的第3段。从中可知,但是如果机器人想要进入下一个阶段,那么,它们必须能在更少的人的监控下运行,至少能够独立地做一些决定。根据文章最后一段的第2句话可知,人类制造的机器人能够识别在人工控制的工厂里的机器控制面板上不到一毫米的误差。由此可知,机器人除了减少人类的劳动,还可以在人的监控下处理具体错误。B项与文章的意思相符,因此B项为正确答案。
单选题 The author uses the example of a monkey to argue that robots are______.
【正确答案】 C
【答案解析】解析:本题可参照文章的最后一段。从中可知,在进行思维模拟时,他们发现人脑大约一千亿的神经细胞比以前想象的要能干得多——人类的认知进程也更为复杂。人类制造的机器人能够识别在人工控制的工厂里的机器控制面板上不到一毫米的误差。但是人类的大脑可以在一瞥之下就能够发现一个迅速变化的情景,随即忽视98%的不相关部分,瞬间把注意力集中到蜿蜒的森林小路边上的猴子身上或一大群人中的一张可疑的面孔上。世界上最先进的计算机系统也无法具备这种能力。据此可知,作者利用猴子这个例子是为了说明——机器人在注意迅速变化的场景方面没有人类强。C项与文章的意思相符,因此C项为正确答案。