【正文】 B.Courtyards and buildingsC.Father and brotherD.New uniforms and shoes（4）What would probably happen next? A.The school life would turn out to be a failure.B.Boys in the school would watch him curiously.C.He would open up a new journey of colorful life.D.His parents would acpany him at the school.【答案】 （1）C（2）A（3）A（4）C 【解析】【分析】本文是一篇記敘文，作者第一天去學(xué)校的時(shí)候并不開心，但是等他到了學(xué)校之后，他結(jié)交了很多朋友，開始了新的生活。 （1）考查推理判斷。根據(jù)第一段中的“They did not make me happy, however, as this was the day I was to be thrown into school for the first time.”可知穿新衣服并沒有讓作者開心，因?yàn)樗谝淮伪蝗舆M(jìn)學(xué)校了；再根據(jù)第四段中的“I did not believe there was really any good to be had in tearing me away from my home and throwing me into the huge, highwalled building.”可知作者不相信將他從家中撕裂并被扔進(jìn)這座巨大的高墻建筑（也就是學(xué)校）中真的有什么好處。綜合可知作者認(rèn)為去學(xué)校不好，去學(xué)校的路上是不開心的，沮喪的，故選C。 （2）考查細(xì)節(jié)理解。根據(jù)第五段中的Go in by you, said my father, and join them. Put a smile on your face and be a good example to others. 可知作者的父親對(duì)他說：進(jìn)去吧，加入他們的行列。面帶微笑，成為他人的好榜樣。也就是作者的父親讓他面帶微笑，故選A。 （3）考查推理判斷。根據(jù)倒數(shù)第二段中的“A lady came along and said, This is your new home. …and face life joyfully. ”；以及最后一段中的Well, it seemed that my misgivings had had no basis. From the first moments I made many friends.“可知老師過來對(duì)作者他們說了一番話，作者聽了這番話之后覺得之前自己的顧慮是毫無根據(jù)的，打消了顧慮。他一開始就交到了很多朋友。這說明老師幫助作者在學(xué)校的第一天過得很好，他的同學(xué)也和他成為了朋友。故選A。 （4）考查推理判斷。根據(jù)最后一段中的”From the first moments I made many friends. I had never imagined school would have this rich variety of experiences.“可知從一開始我就結(jié)交了很多朋友。我從未想象過學(xué)校會(huì)有如此豐富的經(jīng)歷。由此推斷之后作者會(huì)在學(xué)校開始新的生活，會(huì)有豐富的經(jīng)歷，故選C。 【點(diǎn)評(píng)】本題考點(diǎn)涉及細(xì)節(jié)理解和推理判斷兩個(gè)題型的考查，是一篇故事類閱讀，考生需要準(zhǔn)確掌握細(xì)節(jié)信息，并根據(jù)上下文進(jìn)行邏輯推理，從而選出正確答案。8．閱讀理解 Computer scientists have hoped to give robots technical skills to help them recognize, process and react to humor. But these attempts have mostly failed. AI experts say that in many cases, attempts to make robots understand humor end up producing funny results, but not in the way they were supposed to. Tristan Miller studied more than 10,000 puns in one research project. The pun is a kind of joke that uses a word with two meanings. For example, you could say, “Balloons do not like pop music. The word pop can be a way of saying popular music。 or can mean the sound a balloon makes when it explodes. But a robot might not get the joke. Tristan Miller says that is because humor is a kind of creative language that is extremely difficult for puter intelligence to understand. Allison Bishop is a puter scientist and she also performs standup edy. She explained that machines are trained to look for patterns. Comedy, on the other hand, relies on things that stay close to a pattern, but not pletely within it. To be funny, humor should also not be predictable, Bishop said. This is a great challenge for a machine to recognize and understand what is funny. Bishop says since robots have great difficulty understanding humor, she feels like it gives her better job safety as a edy performer. It even made her parents happy when her brother decided to bee a fulltime edy writer because it meant he wouldn39。t be replaced by a machine, she added. Despite the difficulties, Darmstadt University39。s Miller says there are good reasons to keep trying to teach humor to robots. It could make machines more relatable (敘述的), especially if they can learn to understand sarcasm (諷刺), he noted. Humans use sarcasm to say one thing but mean another. But Kiki Hempelmann thinks differently. Teaching AI systems humor may make them find it where it isn39。t, and they may use it where it39。s not suitable, he said. Maybe bad AI will start killing people because it thinks something is funny, he added.（1）What does the author most probably want to show in Paragraph 1? 39。 influence on the scientific development.39。 challenges of making sense of humor. scientists39。 devotion to technical skills. scientists39。 concern about AI39。s development.（2）What are examples mentioned in Paragraphs 2 and 3 intended to do? robots do poorly in funny work robots aren39。t as intelligent as humans language is plex and changeable language can39。t be taught in a set pattern（3）What can we infer about teaching AI system humor from the last paragraph? will make no difference. may be a doubleedged sword. may help improve humans39。 humor. will attract more puter scientists.（4）Where would the passage most probably e from? journal speech【答案】 （1）B（2）D（3）B（4）C 【解析】【分析】本文是一篇說明文，工程師很難讓機(jī)器創(chuàng)造幽默。對(duì)于機(jī)器人是否應(yīng)該被教授幽默，不同的科學(xué)家有不同的見解。 （1）考查推理判斷。根據(jù)第一段中的“Computer scientists have hoped to give robots technical skills to help them recognize, process and react to humor. But these attempts have mostly failed.”可知，計(jì)算機(jī)科學(xué)家希望賦予機(jī)器人技術(shù)技能，幫助它們識(shí)別、處理和應(yīng)對(duì)幽默。但這些嘗試大多以失敗告終。通過第一段作者想要展示的是讓機(jī)器人理解幽默是有挑戰(zhàn)性的。故選B。 （2）考查推理判斷。根據(jù)第二段中的“Tristan Miller says that is because humor is a kind of creative language that is extremely difficult for puter intelligence to understand.”特里斯坦米勒說，這是因?yàn)橛哪且环N創(chuàng)造性的語言，對(duì)計(jì)算機(jī)智能來說是非常難以理解的；第三段中的“This is a great challenge for a machine to recognize and understand what is funny.”對(duì)于機(jī)器來說，識(shí)別和理解什么是有趣的是一個(gè)巨大的挑戰(zhàn)，可推斷，這兩個(gè)例子是用來說明語言不能用固定的模式來教授的。故選D。 （3）考查推理判斷。根據(jù)最后一段中的“‘Teaching AI systems humor may make them find it where it isn39。t, and they may use it where it39。s not suitable,39。 he said. ‘Maybe bad AI will start killing people because it thinks something is funny,39。 he added.“教人工智能系統(tǒng)幽默可能會(huì)讓它們?cè)诓贿m合的地方找到幽默，也可能在不適合的地方使用它”，他說。“也許壞的人工智能會(huì)開始?xì)⑷?，因?yàn)樗J(rèn)為有些東西很有趣”他補(bǔ)充說道，可推斷出，教授人工智能系統(tǒng)幽默可能是一把雙刃劍。故選B。 （4）考查推理判題。根據(jù)第一段中的“Computer scientists have hoped to give robots technical skills to help them recognize, process and react to humor.”計(jì)算機(jī)科學(xué)家希望給機(jī)器人技術(shù)技能，以幫助他們識(shí)別，處理和反應(yīng)幽默，可知，本文講述了教授機(jī)器人幽默，因此推斷這篇文章很可能選自科學(xué)雜志。故選C。 【點(diǎn)評(píng)】本題考點(diǎn)涉及推理判斷題型的考查，是一篇科技類閱讀，考生需要根據(jù)上下文進(jìn)行邏輯推理，從而選出正確答案。9．閱讀理解 Robots have taken over many of America39。s factories. But can they pick a strawberry? It39。s really hard for robots to match what humans can do, says Bob Pizter, an expert on robots. Any 4yearold kid can pick a strawberry, but machines can39。t seem to figure it out. Pizter says the hardest thing for them is finding the fruit. Pizter39。s strawberrypicking robot is rolling into a strawberry field. This welldesigned device drives itself. It39。s as big as a bus, long enough to straddle (跨越) a dozen rows of strawberries at once. Powerful puters are sitting on top. Und