[B] the wide use of machines in manufacturing industry.
[C] the invention of tools for difficult and dangerous work.
[D] the elite’s cunning tackling of dangerous and boring work.
47. The word “gizmos" (line 1, paragraph 2) most probably means .
[A] programs
[B] experts
[C] devices
[D] creatures
48. According to the text, what is beyond man’s ability now is to design a robot that can .
[A] fulfill delicate tasks like performing brain surgery.
[B] interact with human beings verbally.
[C] have a little common sense.
[D] respond independently to a changing world.
49. Besides reducing human labor, robots can also .
[A] make a few decisions for themselves.
[B] deal with some errors with human intervention.
[C] improve factory environments.
[D] cultivate human creativity.
50. The author uses the example of a monkey to argue that robots are .
[A] expected to copy human brain in internal structure.
[B] able to perceive abnormalities immediately.
[C] far less able than human brain in focusing on relevant information.
[D] best used in a controlled environment.
[第46题答案及题解页数] C 第页
[第47题答案及题解页数] C 第页
[第48题答案及题解页数] D 第页
[第49题答案及题解页数] B 第页
[第50题答案及题解页数] C 第页
[长难句突破]
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.
主体句式：But the human mind can glimpse a scene and disregard the 98 percent that…
结构分析：本句由以and连接的两个并列结构组成，而第二部分比较复杂。98 percent后面的内容由两个部分组成，分别是“that is irrelevant, instantaneously”这个定语从句和focus引导的伴随状语。定语从句是用来具体说明“98 percent”，而伴随状语确实用来形容文章的主语“the human mind”的。
[全文译文]
从人类萌发了创造力，他们就一直在设计各种日益精巧的工具来处理那些危险、枯燥、繁重或者只是令人讨厌的工作。这种不得已的行为导致了机器人学科的产生——一门将人类的能力赋予机器的科学。如果说科学家们还没有在机械上实现科幻小说的幻想，那么他们也已经很接近这个目标了。
因此，现代世界日益充斥着各种智能装置，虽然我们几乎都注意不到它们，但它们的普遍存在已使人们摆脱了很多劳动。工厂里轰鸣着机器手臂生产线的节奏；自动柜员机处理银行业务，并且用机器语言有礼貌地感谢你的惠顾；地铁由不知疲倦的机器人来驾驶。由于电子器件和微观机械的结构不断小型化，现在已有一些机器人系统能够进行精确到亚毫米的脑部和骨髓手术，其精确性远远超过技术娴熟的医生仅仅用双手所能达到的水平。
但是如果机器人要进入帮助人们节省劳力的下一个阶段，它们的运行就应该在更大程度上无需受人监控，并且至少能够独立地做一些决定。这些目标给我们提出了真正的挑战。“虽然我们知道如何让机器人去处理一个特定的错误，”美国宇航局(NASA)的机器人项目经理戴维•拉维里说，“我们仍然不能赋予机器人以足够的‘常识’，使它们能够与不断变化的动态世界进行可靠的交流。”
