【正文】 should develop the awareness of resource saving. should be considered first in recycling work.（4）What can be the best title for this passage? harm of recycling recycling really beneficial? recycling work in New York City environmental protection making progress?【答案】 （1）A（2）D（3）C（4）B 【解析】【分析】本文是一篇議論文，自從1996年作家John Tierney說“回收是垃圾”時，關于垃圾回收的好處的討論就沒有停止過。 But in 2002, New York City, an early municipal recycling pioneer, found that its muchpraised recycling program was losing money, so it eliminated glass and plastic recycling. According to the Mayor, the benefits of recycling plastic and glass were outweighed by the price—recycling cost twice as much as disposal. Meanwhile, low demand for the materials meant that much of it was ending up in landfills anyway. NYC closed its last landfill and brought in a more efficient system, with more famous service providers than it had used previously. Debates over the benefits of recycling started in 1996 when a writer called John Tierney said recycling is garbage. According to him, Recycling programs offer mainly shortterm benefits to a few related groups while diverting money from real social and environmental problems. It doubles energy consumption and pollution while costing taxpayers more money than dealing with old garbage. Recycling may be the most wasteful activity in modern America. 【點評】本題考點涉及細節(jié)理解和推理判斷兩個題型的考查，是一篇人生感悟類閱讀，考生需要準確捕捉細節(jié)信息，并根據(jù)上下文進行邏輯推理，從而選出正確答案。s also drink to the understanding that the time to answer deeply human questions about deep learning and AI is now.”可知作者對于AI的先進性持謹慎態(tài)度，讓時間來證明這一切。 （4）考查細節(jié)理解。根據(jù)根據(jù)第四段中的“However，unpredictability also indicates a loss of human control.”可知，不可預測性也表明失去了人類的控制，故選A。根據(jù)第二段中的“Then，AlphaGo played against itself, tirelessly learning from its own mistakes and improving its gameplay over time. The results speak for themselves.”可知，AI的學習過程是通過不斷和自己比賽，吸取經(jīng)驗獲得自我提高，故選A。s attitude towards this remarkable advance in AI? ....【答案】 （1）A（2）A（3）C（4）D 【解析】【分析】本文是一篇夾敘夾議文，作者結(jié)合人工智能AlphaGo戰(zhàn)勝韓國棋手李世石的圍棋比賽展開，闡述了AI的運作原理以及作者的思考。s also drink to the understanding that the time to answer deeply human questions about deep learning and AI is now.（1）What contributes most to the unconventional move of AlphaGo in the game? capability of selfimprovement. constant input of large data sets. installation of deep neutral networks. knowledge of Go rules and strategies.（2）A potential danger of Al is _____. loss of human control friendly relationship fierce petition lack of challenge（3）How should we deal with the unpredictability of AI? should stop AI machines from developing even further. should call on the government to solve these problems for us. should rely on ourselves and e up with effective solutions. should invent even more intelligent machines to solve everything.（4）What39。 How much and what kind of control should we give up to AI machines? How should we design appropriate human control into AI that requires us to give up some of that very control? Is there some AI that we should just not develop if it means any loss of human control? How much of a say should corporations, governments, experts or citizens have in these matters? These important questions, and many others like them, have emerged in response, but remain unanswered. They require human, not human like, solutions. Unpredictability and surprises are—or can be—a good thing. They can indicate that a system is working well, perhaps better than the humans that came before it. Such is the case with AlphaGo. However, unpredictability also indicates a loss of human control. That Hassabis is surprised at his creation39。s founders, echoed this ment:We39。 The number of possible moves in a game of Go is so huge that in order to win against a player like Lee. AlphaGo was designed to adopt a human—like style of gameplay by using a relatively recent developmentdeep learning. Deep learning uses large data sets, machine learning algorithms （計算程序） and deep neural networks to teach the AI how to perform a particular set of tasks. Rather than programming plex Go rules and strategies into AlphaGo DeepMind designers taught AlphaGo to play the game by feeding it data based on typical Go moves. Then, AlphaGo played against itself, tirelessly learning from its own mistakes and improving its gameplay over time. The results speak for themselves. Let us all raise a glass to AlphaGo and the advance of artificial intelligence. AlphaGo, DeepMind39。 【點評】本題考點涉及細節(jié)理解，推理判斷和主旨大意三個題型的考查，是一篇人生感悟類閱讀，要求考生在捕捉細節(jié)信息的基礎上，進一步根據(jù)上下文的邏輯關系，進行分析，推理，概括和歸納，從而選出正確答案。 （3）考查主旨大意。 （2）考查推理判斷。根據(jù)第四段中的“A Japanesestyle conversation, however, is not at all like tennis or volleyball. It39。s rude to interrupt someone who is speaking【答案】 （1）D（2）A（3）C 【解析】【分析】本文是一篇夾敘夾議文，作者結(jié)合自己的切身經(jīng)歷談論了日式的談話和西式的談話的不同之處，由此告訴我們與來自另一個國家的人交談是困難的。talking with someone from another country proves difficultD.it39。criticize（3）The main idea of the article is _______. A.C.entertains purpose in writhing this article is to _____. A.in Japanesestyle conversations, you must wait your turn to speakD.Japanesestyle conversations are like bowling.B.t return your ball, and he does not begin from where your ball stopped. And there is always a suitable pause between turns. There is no rush, no scramble for the ball. When your turn es, you step up to the starting line with your bowling ball and carefully bowl it. Everyone else stands back and watches politely, murmuring encouragement. Everyone waits until the ball has reached the end of the alley（球場）and watches to see if it knocks down all the pins, or only some of them, or none of them. There is a pause, while everyone registers your score. A Japanesestyle conversation, however, is not at all like tennis or volleyb