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Intelligence used to be seen as a fixed entity, some faculty of the mind that we all posse

ss and which determines in some ways the extent of our achievements. Since the Intelligence Quotient was relatively unaffected by bad teaching or a dull home environment, it remained constant. Its value, therefore, was a predictor of children's future learning. If they differed markedly in their ability to learn complex tasks, then it was clearly necessary to educate them differently—and the need for different types of school and even different ability groups within schools was obvious.

Today, we are beginning to think differently. In the last few years, re search has thrown doubt on the view that innate intelligence can ever be measured and on the very nature of intelligence itself. Perhaps most important, there is considerable evidence now which shows the great influence of the environment both on achievement and intelligence. Children with poor home backgrounds not only do less well in their school work and in intelligence tests—a fact which could be explained on genetic grounds—but their performance tends to deteriorate gradually compared with that of their more fortunate classmates. Evidence like this lends support to the view that we have to distinguish between genetic intelligence and observed intelligence. Any deficiency in the appropriate genes will obviously restrict development, no matter how stimulating the environment. But we cannot observe or measure innate intelligence; whereas we can observe and measure the effects of the interaction of whatever is inherited with whatever stimulation has been received from the environment. Changes may occur in our observations or measurements, if the environment is changed. In other words, the Intelligence Quotient is not constant.

Researches over the past decade have been investigating what happens in this interaction. Work in this country has shown that parental interest and encouragement are more important than the material circumstances of the home.

Two major findings have emerged from these studies. Firstly, that the greater part of the development of observed intelligence occurs in the earliest years of life. 50 percent of measurable intelligence at age 17 is already predictable by the age of four. In other words, deprivation in the first four or five years of life can have greater consequences than any of the following twelve or so years.

Secondly, the most important factors in the environment are language and psychological aspects of the parent-child relationship. Much of the difference in measured intelligence between "privileged" and "disadvantaged" children may be due to the latter's lack of appropriate verbal stimulation and the poverty of their perceptional experiences.

These research findings have led to a revision in our understanding of the nature of intelligence. Instead of it being some largely inherited fixed power of the mind, we now sec it as a set of developed skills with which a person copes with any environment. These skills have to be learned and, indeed, the fundamental one is learning how to learn.

Which of the following might serve as a suitable title for the passage?

A.Intelligence: A Changed View

B.Intelligence and Intelligence Quotient

C.Genetic Intelligence vs Observed Intelligence

D.Innate Intelligence and Developed Skills

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更多“Intelligence used to be seen a…”相关的问题
第1题
We can learn from the text that a computer can ______. A.be best used as a calculating device B.be

We can learn from the text that a computer can ______.

A.be best used as a calculating device

B.be best used in word processing

C.find uses almost everywhere

D.have intelligence of its own

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第2题
Which of these criteria is NOT used in assessing the quality of a PEP?()

A:Sincerity and Authenticity

B:Intelligence and Motivation

C:Clarity and Coherence

D:Feasibility and Realism

E:Openness and Flexibility

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第3题
The intelligence test used most often today are based on the work of a Frenchman, Alfred B
i net. In 1905, Binet was asked by the French Ministry of Education to develop a way to identify those children in French schools who were too "mentally deficient (不足的)" to benefit from ordinary schooling and who needed special education. The tests had to distinguish those who were merely be hind in school from those who were actually mentally deficient.

The items that Binet and his colleague Theophile Simon included on the test were chosen on the basis of their ideas about intelligence. Binet and Simon believed intelligence includes such abilities as understanding the meaning of words; solving problems, and making commonsense judgements. Two other important assumptions also shaped Binet' s and Simon' s work. (1) that children with more intelligence will do better in school and (2) that older children have a greater ability than younger children.

Binet' s first test consisted of thirty tasks. They were simple things most children learn as a re ;suit of their everyday experiences. The tasks were arranged in groups, according to age. Binet decided which tasks were appropriate for a given age group by giving them first to a large number of children of different ages. If more than half of the children of a given age passed a test, it was considered appropriate for that age group.

The main purpose of this passage is to ______.

A.tell the origin of intelligence tests

B.explain the basic principle of intelligence tests

C.describe the changes in the content of intelligence tests

D.state the development of intelligence tests

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第4题
‘I. Q.' stands for Intelligence Quotient which is a measure of a person's intelligence fou
nd by means of an intelligence test. Before marks gained in such a test can be useful as information about a person, they must be compared with some standard, or norm. It is not enough simply to know that a boy of thirteen has scored, say, ninety marks in a particular test. To know whether he is clever, average or dull, his marks must be Compared with the average achieved by boys of thirteen in that test.

In 1906 the psychologist, Alfred Binet(1857—1911), devised the standard in relation to which intelligence has since been assessed. Binet was asked to find a method of selecting all children in the schools of Paris who should be taken out of ordinary classes and put in special classes for defectives. The problem brought home to him the need for a atandard of intelligence, and he hit upon the very simple concept of "mental age".

First of all, he invented a variety of tests and put large numbers of children of different ages through them. He then found at what age each test was passed by the average child. For instance, he found that the average child of seven could count backwards from 20 to 1 and the average child of three could repeat the sentence: "We are going to have a good time in the country." Binet arranged the various tests in order of difficulty, and used them as a scale against which he could measure every individual. If, for example, a boy aged twelve could only do tests that were passed by the average boy of nine, Binet held that he was three years below ave rage, and that he had a mental age of nine.

The concept of mental age provided Binet, and through him, other psychologists, with the required standard. It enabled him to state scores in intelligence tests in terms of a norm. At first, it was usual to express the result of a test by the difference between the "mental" and the "chronological" age. Then the boy in the example given would be "three years retarded". Soon, however, the "mental ratio" was introduced; that is to say, the ratio of the mental age to the chronological age. Thus a boy of twelve with a mental age of nine has a mental ratio of 0.75.

The mental age was replaced by the "intelligence quotient" or "I. Q. '. The "I. Q." is the mental ratio multiplied by 100. For example, a boy of twelve with a mental age of nine has an "I. Q." of 75. Clearly, since the mental age of the average child is equal to the chronological age, the average 'I. Q.' is 100.

In order to judge a child' s intelligence, his marks in a test must be compared with marks gained by

A.thirteen-year-old children

B.children of different ages

C.the same child at different ages

D.other children of the same age

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第5题
For the past several years, the Sunday newspaper supplement Parade has featured a column c
alled "Ask Marilyn". People are invited to query Marilyn vos Savant, who at age 10 had tested at a mental level of someone about 23 years old; that gave her an IQ of 228-the highest score ever recorded. IQ tests ask you to complete verbal and visual analogies, to envision paper after it has been folded and cut, and to deduce numerical sequences, among other similar tasks. So it is a bit confusing when vos Savant fields such queries from the average Joe (whose IQ is 100) as, What's the difference between love and fondness? or what is the nature of luck and coincidence? It's not obvious how the capacity to visualize objects and to figure out numerical patterns suits one to answer questions that have eluded some of the best poets and philosophers.

Clearly, intelligence encompasses more than a score on a test. Just what does it means to be smart? How much of intelligence can be specified, and how much can we learn about it from neurology, genetics, computer science and other fields?

The defining term of intelligence in humans still seems to be the IQ score, even though IQ tests are not given as often as they used to be. The test comes primarily in two forms: the Stanford-Binet Intelligence Scale and the Wechsler Intelligence Scales (both come in adult and children's version). Generally costing several hundred dollars, they are usually given only by psychologists, although variations of them populate bookstores and the World Wide Web. Superhigh scores like vos Savant's are no longer possible, because scoring is now based on a statistical population distribution among age pecks, rather tan simply dividing the mental are by the chronological age and multiplying by 100. Other standardized tests, such as the Scholastic Assessment Test (SAT) and the Graduate Record Exam (GRE), capture the main aspects of IQ tests.

Such standardized tests may not assess all the important elements necessary to succeed in school and in life, argues Robert J. Sternberg. In his article "How Intelligent Is Intelligence Testing?". Steinberg notes that traditional tests best assess analytical and verbal skills but fail to measure creativity and practical knowledge, components also critical to problem solving and life success. Moreover, IQ tests do not necessarily predict so well once populations or situations change. Research has found that IQ predicted leadership skills when the tests were given under low-stress conditions, but under high-stress conditions, IQ was negatively correlated with leadership--that is it predicted the opposite. Anyone who has toiled through SAT will testify that test-taking skill also matters, whether it's knowing when to guess or what questions of skip.

Which of the following may be required in an intelligence test?

A.Answering philosophical questions.

B.Folding or cutting paper into different shapes.

C.Telling the differences between certain concepts.

D.Choosing words or graphs similar to the given ones.

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第6题
根据下列文章,回答26~30题。For the past several years, the Sunday newspaper supplement Parad
e has featured a column called “Ask Marilyn.” People are invited to query Marilyn vos Savant, who at age 10 had tested at a mental level of someone about 23 years old; that gave her an IQ of 228-the highest score ever recorded. IQ tests ask you to complete verbal and visual analogies, to envision paper after it has been folded and cut, and to deduce numerical sequences, among other similar tasks. So it is a bit confusing when vos Savant fields such queries from the average Joe (whose IQ is 100) as, What's the difference between love and fondness? Or what is the nature of luck and coincidence? It's not obvious how the capacity to visualize objects and to figure out numerical patterns suits one to answer questions that have eluded some of the best poets and philosophers.

Clearly, intelligence encompasses more than a score on a test. Just what does it means to be smart? How much of intelligence can be specified, and how much can we learn about it from neurology, genetics, computer science and other fields?

The defining term of intelligence in humans still seems to be the IQ score, even though IQ tests are not given as often as they used to be. The test comes primarily in two forms: the Stanford-Binet Intelligence Scale and the Wechsler Intelligence Scales (both come in adult and children's version)。 Generally costing several hundred dollars, they are usually given only by psychologists, although variations of them populate bookstores and the World Wide Web. Superhigh scores like vos Savant’s are no longer possible, because scoring is now based on a statistical population distribution among age pecks, rather tan simply dividing the mental are by the chronological age and multiplying by 100. Other standardized tests, such as the Scholastic Assessment Test (SAT) and the Graduate Record Exam (GRE), capture the main aspects of IQ tests.

Such standardized tests may not assess all the important elements necessary to succeed in school and in life, argues Robert J. Sternberg. In his article “How Intelligent Is Intelligence Testing?”。 Sternberg notes that traditional tests best assess analytical and verbal skills but fail to measure creativity and practical knowledge, components also critical to problem solving and life success. Moreover, IQ tests do not necessarily predict so well once populations or situations change. Research has found that IQ predicted leadership sills when the tests were given under low-stress conditions, but under high-stress conditions. IQ was negatively correlated with leadership-that is it predicted the opposite. Anyone who bas toiled through SAT will testify that test-taking skill also matters, whether it‘s knowing when to guess or what questions of skip.

第26题:Which of the following may be required in an intelligence test?

A.Answering philosophical questions.

B.Folding or cutting paper into different shapes.

C.Telling the differences between certain concepts.

D.Choosing words or graphs similar to the given ones.

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第7题
Artificial Intelligence 人工智能 Advanced Idea, Anticipating Incomparability[1]—on AI, Artificial

Artificial Intelligence

人工智能

Advanced Idea, Anticipating Incomparability[1]—on AI, Artificial Intelligence

Artificial intelligence (AI) is the field of engineering that builds systems, primarily computer systems, to perform tasks requiring intelligence. This field of research has often set itself ambitious goals, seeking to build machines that can "outlook" humans in particular domains of skill and knowledge, and has achieved some success in this aspect. The key aspects of intelligence around which AI research is usually focused include expert system[2], industrial robotics, systems and languages, language understanding, learning, and game playing, etc.

Expert System

An expert system is a set of programs that manipulate encoded knowledge to solve problems in a specialized domain that normally requires human expertise. Typically, the user interacts with an expert system in a "consultation dialogue", just as he would interact with a human who had some type of expertise—explaining his problem, performing suggested tests, and asking questions about proposed solutions. Current experimental systems have achieved high levels of performance in consultation tasks like chemical and geological data analysis, computer system configuration, structural engineering, and even medical diagnosis. Expert systems can be viewed as intermediaries between human experts, who interact with the systems in "knowledge acquisition" mode[3], and human users who interact with the systems in "consultation mode". Furthermore, much research in this area of AI has focused on endowing these systems with the ability to explain their reasoning, both to make the consultation more acceptable to the user and to help the human expert find errors in the system's reasoning when they occur. Here are the features of expert systems.

① Expert systems use knowledge rather than data to control the solution process.

② The knowledge is encoded and maintained as an entity[4]separated from the control program. Furthermore, it is possible in some cases to use different knowledge bases with the same control programs to produce different types of expert systems. Such systems are known as expert system shells[5].

③ Expert systems are capable of explaining how a particular conclusion is reached, and why requested information is needed during a consultation.

④ Expert systems use symbolic representations for knowledge and perform their inference through symbolic computations[6].

⑤ Expert systems often reason with metaknowledge.

Industrial Robotics

An industrial robot is a general-purpose computer-controlled manipulator consisting of several rigid links connected in series by revolute or prismatic joints[7]. Research in this field has looked at everything from the optimal movement of robot arms to methods of planning a sequence of actions to achieve a robot's goals. Although more complex systems have been built, thousands of robots that are being used today in industrial applications are simple devices that have been programmed to perform some repetitive tasks. Robots, when compared to humans, yield more consistent quality, more predictable output, and are more reliable. Robots have been used in industry since 1965. They are usually characterized by the design of the mechanical system. There are six recognizable robot configurations:

① Cartesian Robots[8]: A robot whose main frame consists of three linear axes[9].

② Gantry Robots[10]: A gantry robot is a type of artesian robot whose structure resembles a gantry. This structure is used to minimize deflection along each axis.

③ Cylindrical Robots[11]: A cylindrical robot has two linear axes and one rotary axis.

④ Spherical Robots[12]: A spherical robot has one linear axis and two rotary axes. Spherical robots are used in a variety of industrial tasks such as welding and material handling.

⑤ Articulated Robots[13]: An articulated robot has three rotational axes connecting three rigid links and a base.

⑥ Scara Robots: One style of robot that has recently become quite popular is a combination of the articulated arm and the cylindrical robot. The robot has more than three axes and is widely used in electronic assembly.

Systems and Languages

Computer-systems ideas like timesharing, list processing, and interactive debugging were developed in the AI research environment[14]. Specialized programming languages and systems, with features designed to facilitate deduction, robot manipulation, cognitive modeling, and so on, have often been rich sources of new ideas. Most recently, several knowledge-representation languages—computer languages for encoding knowledge and reasoning methods as data structures and procedures—have been developed in the last few years to explore a variety of ideas about how to build reasoning programs.

Problem Solving

The first big "success" in AI was programs that could solve puzzles and play games like chess. Techniques like looking ahead several moves and dividing difficult problems into easier sub-problems evolved into the fundamental AI techniques of search and problem reduction. Today's programs can play championship-level checkers and backgammon, as well as very good chess. Another problem-solving program that integrates mathematical formulates symbolically has attained very high levels of performance and is being used by scientists and engineers. Some programs can even improve their performance with experience.

As discussed above, the open questions in this area involve capabilities that human players have but cannot articulate, like the chess master's ability to see the board configuration in terms of meaningful patterns. Another basic open question involves the original conceptualization of a problem, called in AI the choice of problem representation. Humans often solve a problem by finding a way of thinking about it that makes the solution easy—AI programs, so far, must be told how to think about the problems they solve.

Logical Reasoning

Closely related to problem and puzzle solving was early work on logical deduction[15]. Programs were developed that could "prove" assertions by manipulating a database of facts, each represented by discrete data structures just as they are represented by discrete formulas in mathematical logic. These methods, unlike many other AI techniques, could be shown to be complete and consistent. That is, so long as the original facts were correct, the programs could prove all theorems that followed from the facts, and only those theorems.

Logical reasoning has been one of the most persistently investigated subareas of AI research. Of particular interest are the problems of finding ways of focusing on only the relevant facts of a large database and of keeping track of the justifications for beliefs and updating them when new information arrives.

Language Understanding

The domain of language understanding was also investigated by early AI researchers and has consistently attracted interest. Programs have been written that answer questions posed in English from an internal database, that translate sentences from one language to another, that follow instruction given in English, and that acquire knowledge by reading textual material and building an internal database. Some programs have even achieved limited success in interpreting instructions spoken into a microphone instead of typed into the computer. Although these language systems are not nearly as good as people are at any of these tasks, they are adequate for some applications. Early successes with programs that answered simple queries and followed simple directions, and early failures at machine translation, have resulted in a sweeping change in the whole AI approach to language. The principal themes of current language-understanding research are the importance of vast amounts of general, commonsense world knowledge and the role of expectations, based on the subject matter and the conversational situation, in interpreting sentences.

Learning

Learning has remained a challenging area for AI. Certainly one of the most salient and significant aspects of human intelligence is the ability to learn. This is a good example of cognitive behavior that is so poorly understood that very little progress has been made in achieving it in AI systems[16]. There have been several interesting attempts, including programs that learn from examples, from their own performance, and from being told. An expert system may perform extensive and costly computations to solve a problem. Most expert systems are hindered by the inflexibility of their problem-solving strategies and the difficulty of modifying large amounts of code. The obvious solution to these problems is for programs to learn on their own, either from experience, analogy, and examples or by being "told" what to do.

Game Playing

Much of the early research in state space search was done using common board games such as checkers, chess, and the 15-puzzle. In addition to their inherent intellectual appeal, board games have certain properties that make them ideal subjects for this early work. Most games are played using a well-defined set of rules, which makes it easy to generate the search space and frees the researcher from many of the ambiguities and complexities inherent in less structured problems. The board configurations used in playing these games are easily represented on a computer, requiring none of the complex formalisms.

Conclusion

We have attempted to define artificial intelligence through discussion of its major areas of research and application. In spite of the variety of problems addressed in artificial intelligence research[17], a number of important features emerge that seem common to all divisions of the field, including.

① The use of computers to do reasoning, learning, or some other forms of inference.

② A focus on problems that do not respond to algorithmic solutions. This underlies the reliance on heuristic search[18]as an AI problem-solving technique.

③ Reasoning about the significant qualitative features of a situation.

④ An attempt to deal with issues of semantic meaning[19]as well as syntactic form[20].

⑤ The use of large amounts of domain-specific knowledge in solving problems. This is the basis of expert systems.

Notes

[1] 标题中的两个短语分别为两组AI,以此分别强调人工智能的最新理念无与伦比。

[2] expert system专家系统。

[3] "knowledge acquisition" mode知识获取模式。

[4] entity实体。

[5] expert system shells专家系统外壳。

[6] symloolic computation符号计算。

[7] ...by revolute or prismatic joints通过外卷的,或棱镜似的连接结合起来。

[8] Cartesian Robot直角座标机器人,主框架由三根直线轴构成。

[9] linear axes线性轴。

[10] Gantry Robot桶架式机器人Gantry桶架。

[11] Cylindrical Robot or Cylindrical Coordinate Robot柱面坐标式机器人。

[12] Spherical Robot or Spherical Coordinate Robot球坐标式机器人。

[13] Articulated Robot挂接式机器人。

[14] Computer-systems ideas like time-sharing, list processing, and interactive debugging were developed in the AI research environment. 人工智能采用了计算机系统方面的一些理念,如:时间分配,编目处理,交互式调试,等等。

[15] logical deduction逻辑推断(演绎推理的过程,在此过程中必然可从所述前提得出一个结论;从一般推向特殊的推论)。

[16] This is a good example of cognitive behavior that is so poorly understood that very little progress has been made in achieving it in AI systems. 这是一种典型的认知行为,但人们却不太了解它,以至于人工智能在这方面还没有什么发展。

[17] In spite of the variety of problems addressed in artificial intelligence research. 尽管人工智能研究中出现了各种各样的问题……

[18] heuristic search启发式搜索。

[19] semantic meaning语义(计算机语言中的每个语义成分所代表的实际操作)。

[20] syntactic form语法形式;句法形式。

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第8题
Part ADirections: Read the following four texts. Answer the questions below each text by c

Part A

Directions: Read the following four texts. Answer the questions below each text by choosing A, B, C or D. (40 points)

Eight months after Sep. 11, it is becoming increasingly apparent that various arms of the US government had pieces of information that, if put together, might have provided sketchy advance warning of the terrorist strikes to come.

The White House now acknowledges, that the CIA told President Bush in August that suspected members of A1 Qaeda had discussed the hijacking of airplanes. At the same time, FBI agents were increasingly suspicious of some Middle Eastern men training at US flight schools. Yet the US government didn't pay attention to this information.

"There are always these little indicators that come in—of one sort or another—that don't get enough decibels to receive attention," say former CIA Director Stansfield Turner.

"The possibility of a traditional hijacking—in the pre-9.11 sense—has long been a concern of the government," White House spokesman Ari Fleischer said. But "this was a new type of attack that was not foreseen." In deed, he said the warnings did not suggest commercial airliners would be used as missiles and that the general assumption was that any attack would occur abroad, not in the US.

Still, the White House says it did quietly alert several government agencies to the threat.

Meanwhile, FBI agents were getting hints of the terrible plot. A classified memo drafted by the bureau reportedly warned in blunt language that Osama bin Laden might be linked to Middle Eastern men taking lessons at US flight schools.

Mr. Turner sees this as a painful and avoidable mistake. The basic reason for the lack of coordination and communication is "a very large intelligence bureaucracy that is very compartmentalized," says Charles Penia, a senior defense analyst at the Cato Institute.

Today, the disclosures raise a crucial question: Have recent reforms boosted Washington's ability to pull together information from its many agencies—and thus disrupt future attacks? Indeed, since Sep. 11, the government has struggled to improve coordination.

One change: FBI data is now merged with CIA intelligence in the president's daily briefing.

Another: A new command center near Washington was set up by White House Homeland Security. It's one place the CIA, the FBI, the Defense Intelligence Agency, and others are able to coordinate and share information. It's not clear yet whether they actually will.

Which conclusion can NOT be drawn from the first three paragraphs?

A.The U.S. government should be partly responsible for 9.11.

B.9.11 event could have been avoided.

C.The U.S. government should have paid more attention to the warnings.

D.The CIA is inevitably responsible for its incorrect information.

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第9题
If you are a tourist interested in seeing a baseball game while in New York, you can find
out which of its teams are in town simply by sending a message to AskForCents.com. In a few minutes, the answer comes back, apparently supplied by a machine, but actually composed by a human. Using humans to process information in a machine-like way is not new: it was pioneered by the Mechanical Turk, a famed 18th-century chess-playing machine that was operated by a hidden chessmaster. But while computers have since surpassed the human brain at chess, many tasks still baffle even the most powerful electronic brain.

For instance, computers can find you a baseball schedule, but they cannot tell you directly if the Yankees are in town. Nor can they tell you whether sitting in the bleachers is a good idea on a first date. AskForCents can, because its answers come from people. "Whatever question you can come up with, there's a person that can provide the answer—you don't have the inflexibility of an algorithm-driven system", says Jesse Heitler, who developed AskForCents. Mr. Heitler was able to do this thanks to a new software tool developed by Amazon, the online retailer, that allows computing tasks to be farmed out to people over the internet. Aptly enough, Amazon's system is called Mechanical Turk.

Amazon's Turk is part toolkit for software developers, and part online bazaar: anyone with internet access can register as a Turk user and start performing the Human Intelligence Tasks (HITs) listed on the Turk website (mturk. com). Companies can become "requesters" by setting up a separate account, tied to a bank account that will pay out fees, and then posting their HITs. Most HITs pay between one cent and $5. So far, people from more than 100 countries have performed HITs, though only those with American bank accounts can receive money for their work; others are paid in Amazon gift certificates.

Mr. Heitler says he had previously tried to build a similar tool, but concluded that the infrastructure would be difficult to operate profitably. Amazon already has an extensive software infrastructure designed for linking buyers with sellers, however, and the Turk simply extends that existing model. Last November Amazon unveiled a prototype of the system, which it calls "artificial intelligence". The premise is that humans are vastly superior to computers at tasks such as pattern recognition, says Peter Cohen, director of the project at Amazon, so why not let software take advantage of human strengths?

Mr. Cohen credits Amazon's boss, Jeff Bezos, with the concept for the Turk. Other people have had similar ideas. Eric Bonabeau of Icosystem, an American firm that builds software tools modeled on natural systems, has built what he calls the "Hunch Engine" to combine human intelligence with computer analysis. The French postal service, for example, has used it to help its workers choose the best delivery routes, and pharmaceutical researchers are using it to determine molecular structures by combining their gut instincts with known results stored in a database. And a firm called Seriosity hopes to tap the collective brainpower of the legions of obsessive players of multiplayer online games such as "World of War-craft", by getting them to perform. small real-world tasks (such as sorting photographs) while playing, and paying them in the game's own currency.

The last sentence of the first paragraph means

A.computers have never been superior to human intelligence.

B.human intelligence can still outperform. computers.

C.computers will eventually baffle many tasks humans give them.

D.human intelligence will fail in the face of electronic chessmasters.

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第10题
Ellsworth Huntington-decided that climate and temperature have ______.A.a great effect on

Ellsworth Huntington-decided that climate and temperature have ______.

A.a great effect on everyone's intelligence

B.same effect on most persons' intelligence

C.some effect on a few persons' intelligence

D.no effect on most persons' intelligence

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第11题
______, he is not a very bright pupil.A.As far as his intelligence is concernedB.As far hi

______, he is not a very bright pupil.

A.As far as his intelligence is concerned

B.As far his intelligence is concerned

C.So his intelligence is concerned

D.As far as his intelligence are concerned

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