题干

阅读【甲】【乙】两段选文,完成下面题目。
                                                                                                 【甲】活板
      庆历中,有布衣毕昇,又为活板。其法:用胶泥刻字,薄如钱唇,每字为一印,火烧令坚。先设一铁板,其上以松脂、蜡和纸灰之类冒之。欲印,则以一铁范置铁板上,乃密布字印,满铁范为一板,持就火炀之;药稍熔,则以一平板按其面,则字平如砥。若止印三二本,未为简易;若印数十百千本,则极为神速。常作二铁板,一板印刷,一板已自布字,此印者才毕,则第二板已具,更互用之,瞬息可就。每一字皆有数印,如“之”“也”等字,每字有二十余印,以备一板内有重复者。不用,则以纸帖之,每韵为一帖,木格贮之。有奇字素无备者,旋刻之,以草火烧,瞬息可成。不以木为之者,文理有疏密,沾水则高下不平,兼与药相粘,不可取;不若燔土,用讫再火令药熔,以手拂之,其印自落,殊不沾污
                                                                                                             (选自《梦溪笔谈》)
                                                                                               【乙】石油
       鄜、延①境内石油,旧说“高奴县出脂水”,即此也。生于水际②,沙石与泉水相杂,“惘惘”③而出,土人以雉尾挹④之,乃采入缶⑤中,颇似淳⑥漆,燃之如麻⑦,但烟甚浓,所沾帷幕皆黑。予疑其烟可用,试扫其煤以为墨,黑光如漆,松墨⑧不及也,遂大为之。其识文⑨为“延川石液”者是也。此物必大行于世,自予始为之。盖石油之多,生于地中无穷,不若松木有时而竭。
     【注】 ①鄜、延:鄜州、延州,在今陕西延安一带。②水际:水边。③惘惘:涌流缓慢的样子。④雉尾挹之:雉,野鸡;挹,原指舀水,此处指沾取。⑤缶:陶瓷罐子。⑥淳:同“纯”。⑦麻:此处指麻杆。⑧松墨:我国名墨之一,用松烟制成,故称“松烟墨”。⑨识文:标上名称。
                                                                                                          (节选自沈括《梦溪笔谈》)

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    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(扑克) 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(神经的) networks and reinforcement learning(强化学习).

    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.