分析 本文屬于演講稿,作者通過這篇文章向我們介紹了英國的一些法律,讓訪問英國的 人知道可以做什么不能做什么.
解答 25.B 細節(jié)理解題,通讀全文可知本文主要是給去英國的旅行者一些建議,故選B.
26.D 細節(jié)理解題,根據(jù)The first;Secondly;Thirdly;My next point;Finally,可知文章中一共給出了五點建議,故選D.
27.D 細節(jié)理解題,根據(jù)倒數(shù)第二段Finally,it is against the law to buy cigarettes or tobacco (煙草) if you are under 16years old.可知十六歲以下買煙是違法的,故選D.
28.C 細節(jié)理解題,根據(jù)最后一段I'd like to finish by saying that if you require any sort of help or assistance,you should contact your local police station,who will be pleased to help you.可知如果你需要幫助可以聯(lián)系當?shù)嘏沙鏊蔬xC.
點評 考查學生的細節(jié)理解和推理判斷能力.做細節(jié)理解題時一定要找到文章中的原句,和題干進行比較,再做出正確選擇.在做推理判斷題時不要以個人的主觀想象代替文章的事實,要根據(jù)文章事實進行合乎邏輯的推理判斷.
科目:高中英語 來源:2017屆河南省新鄉(xiāng)市高三第二次模擬測試英語試卷(解析版) 題型:閱讀理解
Computers have beaten human world champions at chess and, earlier this year, the board game Go. So far, though, they have struggled at the card table. So we challenged one AI to a game.
Why is poker(撲克)so difficult? Chess and Go are “information complete” games where all players can see all the relevant information. In poker, other players’ cards are hidden, making it an “information incomplete” game. Players have to guess opponents’ hands from their actions----tricky for computers. Poker has become a new benchmark for AI research. Solving poker could lead to many breakthroughs, from cyber security to driverless cars.
Scientists believe it is only a matter of time before AI once again vanquishes humans, hence our human-machine match comes up in a game of Texas Hold’s Em Limit Poker. The AI was developed by Johannes Heinrich, researcher studying machine learning at UCL. It combines two techniques: neural(神經(jīng)的)networks and reinforcement learning(強化學習).
Neural networks, to some degree, copy the structure of human brains: their processors are highly interconnected and work at the same time to solve problems. They are good at spotting patterns in huge amounts of data. Reinforcement learning is when a machine, given a task, carries it out, learning from mistakes it makes. In this case, it means playing poker against itself billions of times to get better.
Mr Heinrich told Sky News: “Today we are presenting a new procedure that has learned in a different way, more similar to how humans learn. In particular, it is able to learn abstract patterns, represented by its neural network, which allow it to deal with new and unseen situations.”
After two hours of quite defensive play, from the computer at least, we called it a draw.
1.Why can’t the computer beat humans at the poker game?
A. Because humans are cleverer than the computer
B. Because humans practice playing the poker game every day
C. Because the computer can’t know the other players’ cards completely
D. Because the computer can’t learn the regular rules of the poker game
2.What does the underlined word “vanquishes” in Paragraph 3 mean?
A. Leaves B. Defeats C. Cheats D. Serves
3.What do we know about the reinforcement learning of AI?
A. It solves problems correctly every time
B. It is the same as the learning of humans
C. It learns from the mistakes appearing in a task
D. It is more developed than the studying ways of humans
4.What can be inferred from the text?
A. The new procedure of AI has some features of humans
B. Computers are stronger than humans in every aspect
C. Humans will beat computers at playing poker forever
D. Scientists feel unhappy about the result of the poker game
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