Since the dawn of human ingenuity, people have devised ever more cunning tools to cope with work that is dangerous, boring, burd

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问题     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.
Besides reducing human labor, robots can also ______.

选项 A、make a few decisions for themselves
B、deal with some errors with human intervention
C、improve factory environments
D、cultivate human creativity

答案B

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,它们就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。根据文章最后一段第2句可知,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。
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