单选题 In the 1950s, the pioneers of artificial intelligence(AI)predicted that, by the end of this century, computers would be conversing with us at work and robots would be performing our housework. But as useful as computers are, they're nowhere close to achieving anything remotely resembling these early aspirations for humanlike behavior. Never mind something as complex as conversation: the most powerful computers struggle to reliably recognize the shape of an object, the most elementary of tasks for a ten-month-old kid. A growing group of AI researchers think they know where the field went wrong. The problem, the scientists say, is that AI has been trying to separate the highest, most abstract levels of thought, like language and mathematics, and to duplicate them with logical, step-by-step programs. A new movement in AI, on the other hand, takes a closer look at the more roundabout way in which nature came up with intelligence. Many of these researchers study evolution and natural adaptation instead of formal logic and conventional computer programs. Rather than digital computers and transistors, some want to work with brain cells and proteins. The results of these early efforts are as promising as they are peculiar, and the new nature-based AI movement is slowly but surely moving to the forefront of the field. Imitating the brain's neural network is a huge step in the right direction, says computer scientist and biophysicist Michael Conrad, but it still misses an important aspect of natural intelligence. "People tend to treat the brain as if it were made up of color-coded transistors," he explains, "but it's not simply a clever network of switches. There are lots of important things going on inside the brain cells themselves. " Specifically, Conrad believes that many of the brain's capabilities stem from the pattern recognition proficiency of the individual molecules that make up each brain cell. The best way to build an artificially intelligent device, he claims, would be to build it around the same sort of molecular skills. Right now, the option that conventional computers and softwares are fundamentally incapable of matching the processes that take place in the brain remains controversial. But if it proves true, then the efforts of Conrad and his fellow AI rebels could turn out to be the only game in town.
单选题 How to paraphrase the word "pioneers"(Line 1, Para. 1)?
【正确答案】 C
【答案解析】解析:本题是词义题。A意思是“拓荒者、开发者”,不合题意。B意思是“探险者”,也不合题意。D意为“军队中的工兵”。“pioneer”一词在这里是指在20世纪50年代,首先涉足人工智能(AI)开发研究的计算机专家。
单选题 The author says that the powerful computers of today ______.
【正确答案】 D
【答案解析】解析:本题是要点归纳题。根据题意确定答案在第1段第2、3句。注意选项A中“arecapable of reliably recognizing...”与短文中“struggle to reliably recognize...”(努力、竭力、试图)是不一致的,故不能选。更多的考生可能会误选C,但是第1,在效能(performance)上,当今电脑与20世纪50年代的电脑相距是非常大的;第二,本文探讨的是人工智能,而非电脑的一般效能,故选题时要紧扣短文主题。
单选题 The new trend in artificial intelligence research stems from ______.
【正确答案】 B
【答案解析】解析:本题是要点推论题。人工智能研究开发为什么会开辟一条全新的途径,一定是研究中碰到了难以逾越的障碍,这就是传统研究方法上的误区,也即第2段第1、2句。
单选题 Conrad and his group of AI researchers have been making enormous efforts to ______.
【正确答案】 C
【答案解析】解析:本题是要点推论题。根据题意确定答案在第3段,根据Conrad对自己研究的评述(says)、研究中的发现(examples)、假设(believe)与断言(claim),可归纳推断出他们是在天然智能如何发展这一方面的研究中作了巨大的努力。
单选题 What's the author's opinion about the new AI movement?
【正确答案】 B
【答案解析】解析:本题是推断题。如前所述,文章最后一段为作者对人工智能研究新方法的总结,其中隐含着作者的观点。另外,短文第2段最后一句中“promising”、“surely”和第3段第1句中“a huge step in the right direction...”等都流露出了作者的态度,即作者对新的人工智能研究运动是非常肯定的。选项A中的“will soon die out”,C中的“like a game rather than”及D中的“nobody is sure”等均含否定意思,不能作为答案。
单选题 Which of the following is closest in meaning to the phrase "the only game in town"(Line 3, Para. 4)?
【正确答案】 A
【答案解析】解析:本题是词义题。阅读中词语的理解也不能脱离短文主题。“game”一词有游戏、竞赛方法规则、策略、计谋、方针等多种释义。D是短语的简单改写,不可能作为答案;B重点在获奖,也与短文内容相差甚远,也应排除;容易混淆的是选项C,C侧重研究领域,即范围,而本文主题讨论研究方法,即途径。
单选题 What's the meaning of "adaptation"(Line 5, Para. 2)?
【正确答案】 B
【答案解析】解析:本题是词义题。“adaptation”一词在这里的意思是说,许多研究人员改变以前机械地生编硬造,而是通过研究人脑细胞和蛋白质成分及结构的演化规律,以期对计算机软件作适应性改变。A是一个干扰项,是对“adoption”一词的解释;C意思是改制物或改编剧本。D意思是适配器,转接器(用于转接不可直接连接的器材),即指“adaptor”一词。