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

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

admin2019-06-20  52
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 sub-millimeter 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.
Why does the author use the example of a monkey?
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答案To argue that robots are far less able than human brain in focusing on relevant information
解析 推理判断题。作者最后一段提到“猴子”的例子。该段阐述了计算机虽然功能强大，但是仍然无法和人脑的复杂性相比，因为人脑看一眼迅速变化的场景就能够立即排除不相干的信息，把注意力集中到蜿蜒的森林小路边的一只猴子身上或者人群中一张可疑的面孔上，这一点计算机是做不到的。由此可知，作者举出猴子的例子就是为了举例说明，即在关注相关信息方面，机器人还达不到人类大脑的水平。
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