单选题 {{B}}第三篇{{/B}}
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 tenmonth-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 (神经) network is a huge step in the right direction, says computer scientist and biophysicist Michael Conrad, but is 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 notion that conventional computers and software 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 A1 rebels could turn out to be the only game in town.
单选题 The author says that the powerful computers of today______.
【正确答案】 D
【答案解析】第一段最后一句the most powerful computers struggle to reliably recognize the shape of an object the most elementary tasks for a ten-month old kid。十岁的儿童都能轻松地辨认出的图像对最先进的计算机米说都比较困难,由此可以推断,计算机仍不能用语言与人们交流。
单选题 The new trend in artificial intelligence research stems from______.
【正确答案】 B
【答案解析】文章第二段介绍AI所一直犯的错误是试图separate the highest, most abstract levels of thought,like language and mathematics,and to duplicate them with logical,step by step program,然后介绍新的研究,这说明新的研究趋势是源于对以往研究的认识。由以往的错误可知,新的引咎所立足的一种human intelligence cannot be duplicated with logical step by step programs的认识之上。
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】文章第三段内容都是围绕“智能在本质上是如何运行的”这一问题展开的,由此可以判断本题答案为C。
单选题 What's the author's opinion about the new AI movement?
【正确答案】 D
【答案解析】从is a huge step in the right direction可以判断本题答案为D。
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】从研究的目的来看,这里所说的the only game in town指如果研究成功,将成为该领域中惟一的方向,即A。