Question

3．"There are many ways of being smart that aren't smart like us．"These are the words of Patrick Winston，a leading voice in the field of artificial intelligence．Although his idea is simple，its significance has been lost on most people thinking about the future of work．Yet this is the feature of Al that ought to preoccupy us the most．
   From the 1950s to the 1980s．it was generally thought that the best way to build systems capable of performing tasks to the level of human experts or higher was to copy the way that experts worked．But there was a problem：human experts often struggled to explain how they performed many tasks．Chess-playing was a good example．When asked to explain how they played chess well，some grandmasters appealed to"intuition"（真愛），others to"experience"．Many said they did not really know at all．How could researchers build a chess-playing system to beat a grandmaster if the best players themselves could not explain how they were so good？
  A turning point came in 1997．Deep Blue，IBM's supercomputer，beat Garry Kasparov，the ihen world chess champion，in a six-game match．What was most remarkable was how the system did it．Deep Blue did not share Mr Kasparov's"intuition"or"experience"．It won by means of absolute processing power and massive data storage ability．
  Consider the legal world．Daniel Martin Katz，a law professor，has designed a system to predict the voting behaviour of the US Supreme Court．It can perform as well as most specialists，but it does not mirror the judgement of a human being．Instead it draws on data that capture six decades of Court behaviour．
  We see similiar developments in other parts of life．Surely，all these point to a future that is very different from the one most experts are predicting．It is often said that there are many tasks that will always require human beings to perform because machines cannot"think"，"reason"or"feel"like human beings．But this is to fail to grasp that tomorrow's systems will handle many tasks not by copying us but by working in entirely different，unhuman ways．The set of tasks reserved particularly for human beings is likely to be much smaller than many expect．

46．The example of chess-playing mainly shows thatC．
A．it's important for a chess-playing system to beat a grandmaster
B．human experts nave various responses for their good performance
C．it's difficult to build systems by copying the way human experts work
D．the way human experts work can be of great benefit to building systems
47．According to the passage，what's the reason for Deep Blue's success over Garry？D
A．It shared Garry's intuition and experience．
B．It's designed to think like a human expert．
C．Garry was not able enough lo beat supercomputer．
D．It was equipped with a powerful data processing system．
4S．What's ihe author's purpose of writing Paragraph 4？B
A．To present more details．
B．To offer another example．
C．To give further explanation．
D．To share deeper understanding．
49．Which of the following best shows ihe structure of the passage？C
A．①②③--④⑤
B．①②--③④--⑤
C．①--②③④--⑤
D．①--②③--④⑤
50．What can we infer from the last paragraph？B
A．Systems are expected to be more humanlike．
B．More tasks are likely to be handled by systems．
C．Human beings are certain to be replaced by systems．
D．Tasks tomorrow are supposed to be more demanding．

Answer 1

分析 本文主要寫了建立系統(tǒng)可以幫助我們干很多的事情的．

解答 46．C 細(xì)節(jié)理解題．根據(jù)句子human experts often struggled to explain how they performed many tasks．How could researchers build a chess-playing system to beat a grandmaster if the best players themselves could not explain how they were so good？人類專家經(jīng)常努力解釋他們是如何完成許多任務(wù)的．如何建立一個(gè)國際象棋博弈系統(tǒng)研究打敗大師即使最好的球員本身不能解釋他們是如何這么好，所以答案選C．
47．D 細(xì)節(jié)理解題．根據(jù)句子DIt won by means of absolute processing power and massive data storage ability．它通過絕對(duì)的處理能力和海量的數(shù)據(jù)存儲(chǔ)能力．所以答案選D．
48．B 考慮到法律世界，作者寫了法律教授Daniel Martin Katz設(shè)計(jì)了一個(gè)系統(tǒng)來預(yù)測(cè)美國最高法院的投票行為，可見本段是作者給出的另一個(gè)例子，所以答案選B．
49．C 本文第一段提出觀點(diǎn)There are many ways of being smart that aren't smart like us，二三四段通過舉例說明有很多的聰明的方法．最后一段We see similiar developments in other parts of life延伸到生活的其他領(lǐng)域，所以答案為C、
50．B 推理判斷題．根據(jù)句子But this is to fail to grasp that tomorrow's systems will handle many tasks not by copying us but by working in entirely different，unhuman ways．但這是無法把握明天的系統(tǒng)會(huì)處理很多任務(wù)不是通過復(fù)制我們的工作方式，而是在完全不同的，非人的工作方式中，可以推斷將來有更多的任務(wù)是由系統(tǒng)處理的．所以答案選B．．

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