【文章內(nèi)容簡介】 60。C.impatientD.careful（3）What39。s the author39。s attitude towards his mother39。s cleaning up the dining table? A.Positive.B.Negative.C.Uncertain.D.Unknown.（4）What might be the best title of the passage? A.The precious mailB.A visit to my motherC.A happy family reunionD.The lesson of the dining table【答案】 （1）D（2）D（3）A（4）D 【解析】【分析】本文是一篇夾敘夾議文，作者和哥哥在看望母親期間幫助母親清理餐桌上的資料（一向被她視為寶貝），只留下了極少的重要東西，燒掉了大部分無用的東西。受母親清理餐桌的啟示，作者回到家之后也對自己的東西進行歸類清理，自此作者覺得生活更加簡易了。 （1）考查細節(jié)理解。根據(jù)第三段中的“help me go through these …When we had succeeded in separating wheat from chaff”從麥殼中分離出麥子即：挑出有用的，扔掉無用的，可知，母親要求孩子們查看郵件并從這些郵件中挑出重要的郵件。故選D。 （2）考查細節(jié)理解。根據(jù)第四段中的“My mother led the way , walking into the dining room the way an animal manager might be while entering a cage with tigers in it”可知，母親就像動物管理員走進老虎籠中一樣，那么謹慎的進入餐廳。故選D。 （3）考查觀點態(tài)度。根據(jù)最后一段中的“When I returned home , inspired by the visit to my mother , I sorted out my own accumulated piles of papers , sold or gave away half of my possessions…”可知，作者受母親清理餐桌行為動作的影響，回家之后也對自己的物品進行了歸類清理。故可知，作者的態(tài)度是積極的。故選A。 （4）考查主旨大意全文以餐桌清理為主線，講述了在我們的生活中要把無用之物拋棄，以使我們生活更加簡易，尤其是最后一段中的“And it proves that a small change does make a big difference可知，D項（有關餐桌的一課）可作本文的標題。故選D。 【點評】本題考點涉及細節(jié)理解，觀點態(tài)度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。5．閱讀理解 Let us all raise a glass to AlphaGo and the advance of artificial intelligence. AlphaGo, DeepMind39。s Goplaying AI, just defeated the best Goplaying human, Lee Sedol. But as we drink to its success, we should also begin trying to understand what it means for the future. 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. Deep learning represents a shift in the relationship humans have with their technological creations. It results in AI that displays surprising and unpredictable behaviour. Commenting after his first loss, Lee described being shocked by an unconventional move he claimed no human would ever have made. Demis Hassabis, one of DeepMind39。s founders, echoed this ment:We39。re very pleased that AlphaGo played some quite surprising and beautiful moves. 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 behaviour suggests a lack of control in the design. And though some loss of control might be fine in the context of a game such as Go, it raises urgent questions elsewhere. 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. So as we drink to the milestone in AI, let39。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。s the author39。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。 （1）考查推理判斷。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。 （2）考查細節(jié)理解。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。 （3）考查推理判斷。根據(jù)第五段中的“They require human，not human like，solutions.”可知，他們需要人類，只有人類自己努力才最可能找出解決方案，故選C。 （4）考查細節(jié)理解。根據(jù)最后一段中的“So as we drink to the milestone in AI, let39。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。故選D。 【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。6．閱讀理解 I had an experience some years ago, which taught me something about the ways in which people make a bad situation worse by blam