2018考研英語閱讀理解衝刺模擬試題帶答案
閱讀理解在考研英語佔很重的分值，需要考生多做模擬試題鞏固知識，爭取拿高分。今天，本站小編準備了2018考研英語閱讀理解衝刺模擬試題，以供考生練習。
Since the dawn of human ingenuity, people have devised ever morecunning tools to cope with work that is dangerous, boring, burdensome, or justplain nasty. That compulsion has resulted in robotics — the scienceof conferring various human capabilities on machines. And if scientists haveyet to create the mechanical version of science fiction, they have begun tocome close.
As a result, the modern world is increasingly populated by intelligentgizmos whose presence we barely notice but whose universal existence hasremoved much human labor. Our factories hum to the rhythm of robot assemblyarms. Our banking is done at automated teller terminals that thank us withmechanical politeness for the transaction. Our subway trains are controlled bytireless robot-drivers. And thanks to the continual miniaturization ofelectronics and micro-mechanics, there are already robot systems that canperform some kinds of brain and bone surgery with submillimeter accuracy — far greaterprecision than highly skilled physicians can achieve with their hands alone.
But if robots are to reach the next stage of laborsaving utility,they will have to operate with less human supervision and be able to make atleast a few decisions for themselves — goals that pose areal challenge. “While we know how to tell a robot to handle a specific error,” says DaveLavery, manager of a robotics program at NASA, “we can't yet give arobot enough‘common sense’ to reliably interact with a dynamic world.”
Indeed the quest for true artificial intelligence has produced verymixed results. Despite a spell of initial optimism in the 1960s and 1970s whenit appeared that transistor circuits and microprocessors might be able to copythe action of the human brain by the year 2010, researchers lately have begunto extend that forecast by decades if not centuries.
What they found, in attempting to model thought, is that the humanbrain's roughly one hundred billion nerve cells are much more talented — and humanperception far more complicated — than previously imagined. They have built robots that can recognizethe error of a machine panel by a fraction of a millimeter in a controlledfactory environment. But the human mind can glimpse a rapidly changing sceneand immediately disregard the 98 percent that is irrelevant, instantaneouslyfocusing on the monkey at the side of a winding forest road or the singlesuspicious face in a big crowd. The most advanced computer systems on Earthcan't approach that kind of ability, and neuroscientists still don't know quitehow we do it.
2018考研英語閱讀理解衝刺模擬試題：【題目及答案】26. Human ingenuity was initially demonstrated in
[A]the use of machines to produce science fiction.
[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.
27. The word “gizmos" (line 1, paragraph 2) most probably means
[A]programs. [B]experts. [C]devices. [D]creatures.
28. According to the text, what is beyond man's ability now is todesign 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.
29. 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.
30. 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 relevantinformation.
[D]best used in a controlled environment.
名師解析
26. Human ingenuity was initially demonstrated in 人類的創造性最初表現在
[A]the use of machines to produce science fiction. 用機器來創作科幻小說。
[B]the wide use of machines in manufacturing industry. 製造業對機器的廣泛使用。
[C]the invention of tools for difficult and dangerous work.
發明工具以處理困難和危險的工作。
[D]the elite’s cunning tackling of dangerous and boring work.
精英人士對危險和枯燥的工作的巧妙的處理。
【答案】 C
【考點】事實細節題。
【分析】通過“ Human ingenuity ”和“ initially ”可以定位到第一段開始。“從人類產生智慧初期至今，人們一直在設計越來越巧妙的工具來應付那些危險的、枯燥的、繁重的或者直接就是骯髒的工作。”由於講的是人類最初的創造力，因此可以排除 [A] 、 [B] 、 [D] 。
27. The word “gizmos" (Line 1, Paragraph 2) most probably means
單詞“ gizmos ” ( 第二段第一行 ) 最有可能的意思是
[A]programs. 程序。 [B]experts. 專家。
[C]devices. 設備。 [D]creatures. 生物。
【答案】 C
【考點】詞義題。
【分析】本題雖然考查的是詞義，但是顯然不是希望考生通過儲備更大的詞彙來回答，而是希望考生能夠利用文中出現的細節來推斷這個單詞的意思。第二段第一句的意思說“由此引起的結果是，現代世界已經充斥着越來越多的智能 ____ ，儘管我們幾乎都注意不到它們，但它們的普遍存在卻節省了許多人類勞力。”然後作者提及到了“工廠機械手”、“自動櫃員機”以及“機器人駕駛員”等等。由此我們可以認定這些設施都是對“ gizmo ”的例舉和解釋。而這幾樣東西具有一個共同的特徵，即它們都是“工具”。相比四個選項，只有 [C] 最合適。
28. According to the text, what is beyond man's ability now is todesign a robot that can
根據本文，現在超越人類能力範圍的是設計一種能 ________ 的機器人。
[A] fulfill delicate tasks like performing brain surgery.
完成諸如腦手術這樣的精細的工作。
[B] interact with human beings verbally.
與人類進行口頭交流。
[C] have a little common sense.
有一些常識。
[D] respond independently to a changing world.
對一個變化的世界獨立應付。
【答案】 D
【考點】事實細節題。
【分析】根據“超越人類能力”這個關鍵信息，我們可以定位到第三段中“ Dave Lavery ”的第二句話，即“ we can’t yet give a robot enough ‘ common sense ’ to reliablyinteract with a dynamic world ”。因爲該句中的“ dynamic ”就是“動態的、變化的”意思，因此我們可以判定答案[D] 是正確的。 [A] 文中已經提及。 [B] 的例子就是“自動櫃員機”。 [C] 可以在第三段最後一句“我們不能給他足夠的常識”中找到被排除的依據。
29. Besides reducing human labor, robots can also
除了減少人類勞動，機器人還能夠
[A]make a few decisions for themselves. 爲自己做幾個決策。
[B]deal with some errors with human intervention. 通過人類干預處理一些錯誤。
[C]improve factory environments. 改善工廠環境。
[D]cultivate human creativity. 培養人的創造性。
【答案】 B
【考點】事實細節題。
【分析】本題要求考生尋找機器人還能夠從事什麼工作，這就需要對四個選項進行比較。尋找答案。[A] 提到機器人能夠爲自己做幾個決策，通過“ decision ”這個單詞可以定位到第三段第一句話“但是如果機器人要進入節省勞力的下一個階段，他們必須能夠在更少的人工監控下運行，並且至少能夠獨立地做一些決定”，這句話表明，目前機器人還不能獨立做一些決定。 [B] 的意思符合第三段第三句，“雖然我們知道如何讓機器人去糾正一個特定的錯誤”。至於 [C] ，文中提到機器人是受環境控制的，而不是反之。 [D] 的說法也反了。
30. The author uses the example of a monkey to argue that robots are
作者使用猴子的例子，爲的是說機器人
[A] expected to copy human brain in internal structure.
被期望複製人腦內部結構。
[B] able to perceive abnormalities immediately.
能夠立即覺察到不正常情況。
[C] far less able than human brain in focusing on relevantinformation.
在聚焦相關信息方面遠遠不如人類。
[D] best used in a controlled environment.
最適合在受控環境下使用。
【答案】 C
【考點】作者意圖題。
【分析】作者最後一段提到“猴子”這個例子，是考查文章最後一段的理解。由於文章舉這個例子就是爲了說明計算機雖然功能強大，但是仍然無法和人腦的複雜性相比，因爲人腦看一眼迅速變化的場景就能夠迅速的排除不相干的信息，立即把注意力集中到蜿蜒的森林小路邊的一隻猴子，這一點計算機是做不到的。因此，可以判斷 [C] 正確。
難句解析：
1. Since the dawn of human ingenuity, people have devised ever morecunning tools to cope with work that is dangerous, boring, burdensome, or justplain nasty.
【結構分析】本句前面是“ since ”引導的一個時間狀語，後面主句中有一個“ that ”引導的定語從句“ that is dangerous, boring, burdensome, or just plain nasty ”用來修飾“ work ”。
2. As a result, the modern world is increasingly populated byintelligent gizmos whose presence we barely notice but whose universalexistence has removed much human labor.
【結構分析】本句的主句是“ the modern world is increasingly populated by intelligent gizmos ”，後面是兩個“whose ”引導的定語從句，“ but ”連接了這兩個定語從句。
3. There are already robot systems that can perform some kinds ofbrain and bone surgery with submillimeter accuracy — far greaterprecision than highly skilled physicians can achieve with their hands alone.
【結構分析】本句是一個“ there be ”結構，“ robot systems ”後面有一個“ that ”引導的定語從句，而破折號引出一個補充說明部分來修飾“ submillimeter accuracy ”，其中包含一個比較級。
4. But the human mind can glimpse a rapidly changing scene andimmediately disregard the 98 percent that is irrelevant, instantaneouslyfocusing on the monkey at the side of a winding forest road or the singlesuspicious face in a big crowd.
【結構分析】本句的主語是“ the human mind ”，並列謂語“ can glimpse ”和“ disregard”，逗號後面“ instantaneously focusing on the monkey at the side of a windingforest road or the single suspicious face in a big crowd ”是現在分詞做狀語。
全文翻譯：
從人類產生智慧初期至今，人們一直在設計越來越巧妙的工具來應付那些危險的、枯燥的、繁重的或者直接就是骯髒的工作。這種動力產生了機器人科學——一門將人類的能力賦予機器的科學。如果科學家們還沒有創造出科幻小說的機械版本，他們也已經很接近這個目標了。
由此引起的結果是，現代世界已經充斥着越來越多的智能裝置，儘管我們幾乎都注意不到他們，但他們的普遍存在卻節省了許多人類勞力。我們的工廠裏轟鳴着機器人生產線的節奏;我們的金融服務在自動櫃員機上完成，它們還會機械地、禮貌地感謝我們使用業務;我們的地鐵車輛由不知疲倦的機器人司機駕駛。多虧了電子和微觀機械儀器的不斷縮小，現在已有一些機器人系統能夠進行腦部和骨髓手術，準確性精確到亞毫米，遠遠超過熟練的醫生用他們的雙手所能達到的水平。
但是如果機器人要進入節省勞力的下一個階段，他們必須能夠在更少的人工監控下運行，並且至少能夠獨立地做一些決定。這些目標提出了一個真正的挑戰。“雖然我們知道如何讓機器人去糾正一個特定的錯誤，” NASA 的一個機器人項目經理戴維· 拉維裏說，“我們仍然不能賦予機器人以足夠的‘常識’，使它們能夠與動態的世界進行可靠的交流。”
實際上對真正的人工智能的探索已經產生了各種各樣的結果。雖然剛開始在 20 世紀 60 和 70 年代有過一段樂觀的時期，那時候看起來晶體管電路和微處理器的發展將使它們在 2010 年能夠模仿人類大腦的活動——但是最近研究人員已經開始將這個預測延後了不是數百年至少也有數十年。
在試圖建造思維模型的過程中，研究人員發現，人類大腦中的近 1,000 億個神經細胞要比以前想象得更聰明，人類的感知也比以前想象得更復雜。他們建造出來的機器人在嚴格控制的工廠環境裏，能夠在儀表盤上識別一毫米以下的誤差。但是人的大腦能夠掃描一個快速變化的場景，迅速排除 98% 的不相干的物體，立即聚焦於森林中婉蜒道路旁的一隻猴子，或者人羣中的一張可疑的臉。地球上最先進的計算機系統也不能達到這種能力，並且神經學科學家仍然不知道我們是怎樣做到這一點的。
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