If you sit down to play an old-school board game like chess this holiday season,it might be surprising to keep in mind just how bad you'd be against a computer.In fact.computers have shown they're capable of taking humans' lunch money at board games for a while now.Remember Deep Blue versus Gary Kasparov in 1997 or AlphaGo against Lee Sedol,in South Korea,at the game of Go(围棋），in 2016?The computer won.
 Now,the same team that created the Go-playing robot is celebrating something more powerful:an artificial intelligence system that is capable of teaching itself and winning at three different games.
They call it AlphaZero,and it knows two kinds of chess and Go.All of these games fall into the kind of"full information"or"perfect information"contests-each player can see the entire board and has access to the same information.That's different from games like poker, for example,where you don't know what cards an opponent is holding.
 "AlphaZero needs to be told the rules of the games first,and after that,it learns by competing with itself in the games,"says Julian Schrittwieser."It suggests that we have a good chance to extend this to even more real-world problems that we might want to solve later."
And board games have historically been a good way to test computers'abilities."It took us decades of work on these games to reach the point where AlphaZero can perform them better than people,"Campbell says."I think they've served the field very well. They've allowed us to explore techniques such as the ones used in AlphaZero,which will be helpful as the field aims at more complex tasks."Campbell adds."And that is the whole point in the first place of solving games-it isn't for their own sake,but for it is a limited kind of environment where we can make progress in many other branches of science and technology."
32.What's the author's main purpose in mentioning the two games in paragraph 1?
A.To show computers are bad at playing board games,
B.To prove computers can defeat humans at board games.
C.To emphasize humans are capable of playing computer games.
D.To demonstrate people can earn money by playing board games.
33.What is paragraph 3 mainly about?
A.The operating principle of AlphaZero..
B.The differences between chess and Go.
C.The information about hi-tech contests.
D.The features of the games AlphaZero knows.
34.How can AlphaZero learn in the games?
A.By playing the games against itself.
B.By playing multiple online games.
C.By being programmed by humans.
D.By setting the rules of the games.
35.What does Campbell say about board games?
A.They help solve computers' problems.
B.They are used to test people's abilities.
C.Their techniques can be applied to other fields.
D.Their technology can be merely limited in games.
 
 
32 〜35 BDAC
D篇:本文是说明文。文章主要介绍了机器人AlphaZero的一些情况。这种人工智能能够在各种棋类比赛中 战胜人类,能够自我学习，人们将把这种技术应用到其他领域。
32. B【解析】推理判断题。根据第一段最后一句“电脑赢了”可知，作者提及这两个比赛是为了证明电脑可以 在棋类游戏中战胜人类。
33. D【解析】主旨大意题。第三段第二三句都是围绕第一句中的“AlphaZero知道象棋和围棋”展开阐述，故 本段主要讲AlphaZero所知道的游戏的特点。
34. A【解析】细节理解题。根据第四段第一句可知,AlphaZero是通过在游戏中与自己比赛来学习。
35. C【解析】推理判断题。根据最后一段最后一句可知，Campbell这种棋类游戏技术可以应用到其他科技 领域。