人工智能英文文献原文及译文
人工智能作文模板英文版

人工智能作文模板英文版英文回答:Introduction。
Artificial Intelligence (AI) has emerged as a transformative technology that is revolutionizing various aspects of our lives. With its ability to process vast amounts of data, learn from complex patterns, and make intelligent decisions, AI has the potential to address significant challenges and unlock new opportunities across industries.Role of AI in Modern Society。
AI is playing a pivotal role in shaping modern society by:Automating Routine Tasks: AI-powered systems can automate repetitive and time-consuming tasks, freeing uphuman workers to focus on more strategic and creative endeavors.Enhancing Decision-Making: AI algorithms can analyze large volumes of data to identify patterns and correlations that are often invisible to humans. This enables businesses and individuals to make informed decisions and optimize outcomes.Improving Healthcare Outcomes: AI is transforming healthcare by enabling early disease detection, personalized treatment plans, and automated medical image analysis.Advancing Transportation: Self-driving cars, traffic management systems, and drone delivery services based on AI are revolutionizing the transportation industry, making it safer, more efficient, and accessible.Personalizing Experiences: AI algorithms are used to tailor content, products, and services to individual preferences, creating personalized experiences for users.Ethical Considerations。
人工智能 英文作文

人工智能英文作文Artificial intelligence, also known as AI, is revolutionizing the way we live and work. From self-driving cars to virtual assistants, AI is changing the way we interact with technology.The potential of AI is endless, with applications in healthcare, finance, and even creative fields like art and music. It has the ability to analyze vast amounts of data and make decisions faster and more accurately than humans.However, there are also concerns about the ethical implications of AI, such as privacy issues and job displacement. As AI continues to advance, it is important for us to consider the impact it will have on society as a whole.Despite the challenges, AI has the power to improve our lives in ways we never thought possible. It has the potential to solve complex problems and help us make betterdecisions in a rapidly changing world.In conclusion, artificial intelligence is a powerful tool that has the ability to transform the way we live and work. As we continue to explore its capabilities and limitations, it is important to approach AI with caution and consideration for its impact on society.。
人工智能优秀英语范文

人工智能优秀英语范文Artificial Intelligence has been a topic of great interest and discussion in recent years. With the rapid development of technology, AI has become an integral part of our daily lives, from personal assistants like Siri and Alexa to autonomous vehicles and advanced medical diagnosis systems. In this essay, I will discuss the benefits and challenges of AI, as well as its potential impact on society.First and foremost, AI has the potential to revolutionize various industries and improve efficiency. For example, in the healthcare sector, AI can analyze large datasets to identify patterns and predict diseases, leading to early diagnosis and personalized treatment plans. In addition, AI-powered robotics can perform complex surgeries with greater precision, reducing the risk of human error. Similarly, in the field of transportation, AI can enhance safety and reduce traffic congestion through autonomous vehicles that can communicate with each other and make split-second decisions.On the other hand, the widespread adoption of AI also raises concerns about job displacement and ethical implications. As AI continues to automate tasks that were previously performedby humans, there is a risk of unemployment and economic inequality. Moreover, the use of AI in decision-making processes, such as loan approvals and criminal sentencing, has sparked debates about bias and fairness. It is essential to address these challenges through policies and regulations that ensure the responsible and ethical use of AI.In addition to its impact on the economy and ethics, AI also has the potential to transform education and personalized learning. With the help of AI, educators can tailor instruction to individual students' needs, providing targeted support and feedback. Furthermore, AI-powered tutoring systems can offer personalized learning experiences, adapting to each student's pace and style of learning. This can lead to improved academic outcomes and a more inclusive education system.In conclusion, the development of AI presents both opportunities and challenges for society. While AI has the potential to revolutionize various industries and improve efficiency, it also raises concerns about job displacement and ethical implications. It is crucial for policymakers, businesses, and individuals to collaborate in addressing these challenges and ensuring the responsible and ethical use of AI.人工智能近年来备受关注和讨论。
人工智能(全英)-1-Introduction

Acting humanly: Turing Test
• Turing (1950) "Computing machinery and intelligence": • "Can machines think?" "Can machines behave intelligently?" • Operational test for intelligent behavior: the Imitation Game
Outline
• Course overview
• What is AI?
• A brief history
• The state of the art
What is AI?
• Artificial Intelligence (AI)
• Intelligent behavior in artifacts • “Design computer programs to make computers smarter” • “Study of how to make computers do things at which, at
1) Predicting and testing behavior of human subjects (topdown) or 2) Direct identification from neurological data (bottom-up)
• Both approaches (roughly, Cognitive Science and Cognitive Neuroscience), are now distinct from AI
• “Can”
• Can machines think now or someday? • Might machines be able to think theoretically or
人工智能英语作文四级

人工智能英语作文四级Title: The Evolution and Impact of Artificial Intelligence.In today's rapidly advancing technological landscape, artificial intelligence (AI) has emerged as a transformative force,革命性的力量shaping the way we live, work, and interact with the world. AI, a field of computer science, aims to create machines capable of intelligent behavior, exhibiting characteristics such as learning, reasoning, and problem-solving. While the concept of AI has existed for decades, recent advancements in computing power and algorithms have allowed for significant breakthroughs, leading to its increasing integration into our daily lives.The evolution of AI can be traced back to its inception in the 1950s, when the term "artificial intelligence" was coined by John McCarthy. Since then, AI has undergone several waves of development, each marked by significant advancements and challenges. The first wave, known assymbolic AI, focused on creating rule-based systems that could perform logical reasoning and problem-solving. However, these systems were limited by their inability to handle uncertainty and complexity.The second wave of AI, known as statistical learning or machine learning, shifted the focus towards building systems that could learn from data. These systems, based on statistical models, were able to identify patterns and make predictions without explicit programming. While this approach led to significant improvements in areas like speech recognition and image classification, it still suffered from limitations, such as the need for large amounts of labeled data and the inability to generalize beyond the trained domain.The third wave of AI, known as deep learning, has been 革命性的革命性的,transforming the field with its ability to process and understand unstructured data. Deep learning algorithms, based on artificial neural networks, are able to learn hierarchical representations of data, enabling them to capture complex patterns and relationships. Thishas led to breakthroughs in areas like computer vision, natural language processing, and reinforcement learning, among others.The impact of AI on society has been profound and far-reaching. In the realm of healthcare, AI has revolutionized diagnosis and treatment, enabling doctors to make more accurate predictions and decisions based on vast amounts of patient data. In industries like manufacturing and logistics, AI-powered robots and autonomous systems have increased efficiency and productivity, while reducing human error and operational costs.In the realm of technology, AI has transformed the way we interact with devices and services. Virtual assistants like Siri and Alexa use natural language processing to understand and respond to our queries, while recommender systems like those found on Netflix and Amazon personalize content based on our preferences and behaviors. These advancements have not only made our lives more convenient but have also given rise to new business models and opportunities.However, the rise of AI also presents challenges and ethical considerations. One of the most significantconcerns is the potential displacement of human workers by machines. As AI systems become more capable and efficient, there is a risk of job losses in sectors like manufacturing, customer service, and even professions like law and medicine. This raises questions about the need for policies and frameworks to ensure that the benefits of AI are distributed fairly across society.Another concern is the privacy and securityimplications of AI. As more data is collected and used to train AI systems, there is an increased risk of privacy breaches and misuse of personal information. This requires robust data protection measures and ethical guidelines to ensure that AI is developed and deployed responsibly.Despite these challenges, the future of AI looks bright. With continued advancements in technology and increasing investment in research and development, we can expect tosee more innovations in areas like autonomous vehicles,smart cities, and personalized medicine. These advancements will not only improve our lives but will also drive economic growth and create new opportunities for society.In conclusion, artificial intelligence has emerged as a transformative force in our world,革命性的力量shaping the way we live, work, and interact with technology. Its evolution from symbolic AI to deep learning has led to significant breakthroughs in areas like healthcare, manufacturing, and technology. However, as we move forward, it is crucial that we address the ethical and societal challenges presented by AI to ensure that its benefits are distributed fairly and responsibly across society.。
关于人工智能的英语作文翻译

With the development of science and technology the progress of the society, a new generation of information technology is working on an intelligent life, Internet, smart phones, LCD TV, air conditioning also gradually entered thousands of families.In 1977, the British, the manager of the world's largest Internet company expected future anyone not in their own homes have a their own computer. Computer won't be used by most people, however, is not using the computer in the rapid development of modern society it is almost impossible, high-rise buildings in the staff are using computer records as may be assigned task; Cartoonist play in using computer picture scanning, color; In the school each classroom placed a, the teacher is using the computer to students to explain the text; Print shop running a desktop computer is busy working. However the manager never imagined nearly half a century of today computer has been in our life plays the effect that cannot replace, also from the heavy machine that filled a whole room until now textbooks thick liquid crystal.随着科技的发展社会的进步,新一代信息技术正在着力打造智慧生活,互联、智能机、液晶电视、空调也逐渐步入了千千万万的家庭。
人工智能与专家系统外文文献译文和原文

人工智能与专家系统外文文献译文和原文AI研究仍在继续,但与MIS和DDS等计算机应用相比,研究热情的减弱使人工智能的研究相对落后。
然而,在研究方面的不断努力一定会推动计算机向人工智能化方向发展。
2.AI领域AI现在已经以知识系统的形式应用于商业领域,既利用人类知识来解决问题。
专家系统是最流行的基于知识的系统,他是应用计算机程序以启发方式替代专家知识。
Heuritic术语来自希腊eureka,意思是“探索”。
因此,启发方式是一种良好猜想的规则。
启发式方法并不能保证其结果如同DSS系统中传统的算法那样绝对化。
但是启发式方法提供的结果非常具体,以至于能适应于大部分情况启发式方法允许专家系统能像专家那样工作,建议用户如何解决问题。
因为专家系统被当作顾问,所以,应用专家系统就可以被称为咨询。
除了专家系统外,AI还包括以下领域:神经网络系统、感知系统、学习系统、机器人、AI硬件、自然语言处理。
注意这些领域有交叉,交叉部分也就意味着这个领域可以从另一个领域中收益。
3.专家系统的吸引力专家系统的概念是建立在专家知识能够存储在计算机中并能被其他人应用这一假设的基础上的。
专家系统作为一种决策支持系统提供了独无二的能力。
首先,专家系统为管理者提供了超出其能力的决策机会。
比如,一家新的银行投资公司可以应用先进的专家系统帮助他们进行选择、决策。
其次,专家系统在得到一个解决方案的同时给出一步步的推理。
在很多情况下,推理本身比决策的结果重要的多。
4.专家系统模型专家系统模型主要由4个部分组成:用户界面使得用户能与专家系统对话;推理引擎提供了解释知识库的能力;专家和工程师利用开发引擎建立专家系统。
1.用户界面用户界面能够方便管理者向专家系统中输入命令、信息,并接受专家系统的输出。
命令中有具体化的参数设置,引导专家系统的推理过程。
信息以参数形式赋予某些变量。
(1)专家系统输入现在流行的界面格式是图形化用户界面格式,这种界面与Window有些相同的特征。
人工智能英文文献原文及译文

人工智能英文文献原文及译文附件四英文文献原文Artificial Intelligence"Artificial intelligence" is a word was originally Dartmouth in 1956 to put forward. From then on, researchers have developed many theories and principles, the concept of artificial intelligence is also expands. Artificial intelligence is a challenging job of science, the person must know computer knowledge, psychology and philosophy. Artificial intelligence is included a wide range of science, it is composed of different fields, such as machine learning, computer vision, etc, on the whole, the research on artificial intelligence is one of the main goals of the machine can do some usually need to perform complex human intelligence. But in different times and different people in the "complex" understanding is different. Such as heavy science and engineering calculation was supposed to be the brain to undertake, now computer can not only complete this calculation, and faster than the human brain can more accurately, and thus the people no longer put this calculation is regarded as "the need to perform complex human intelligence, complex tasks" work is defined as the development of The Times and the progress of technology, artificial intelligence is the science of specific target and nature as The Times change and development. On the one hand it continues to gain new progress on the one hand, and turning to more meaningful, the more difficult the target. Current can be used to study the main material of artificial intelligence and artificial intelligence technology to realize the machine is a computer, the development history of artificial intelligence is computer science and technology and the development together. Besides the computer science and artificial intelligence also involves information, cybernetics, automation, bionics, biology, psychology, logic, linguistics, medicine and philosophy and multi-discipline. Artificial intelligence research include: knowledge representation, automatic reasoning and search method, machine learning and knowledge acquisition and processing of knowledge system, natural language processing, computer vision, intelligent robot, automatic program design, etc.Practical application of machine vision: fingerprint identification,face recognition, retina identification, iris identification, palm, expert system, intelligent identification, search, theorem proving game, automatic programming, and aerospace applications.Artificial intelligence is a subject categories, belong to the door edge discipline of natural science and social science.Involving scientific philosophy and cognitive science, mathematics, neurophysiological, psychology, computer science, information theory, cybernetics, not qualitative theory, bionics.The research category of natural language processing, knowledge representation, intelligent search, reasoning, planning, machine learning, knowledge acquisition, combined scheduling problem, perception, pattern recognition, logic design program, soft calculation, inaccurate and uncertainty, the management of artificial life, neural network, and complex system, human thinking mode of genetic algorithm.Applications of intelligent control, robotics, language and image understanding, genetic programming robot factory.Safety problemsArtificial intelligence is currently in the study, but some scholars think that letting computers have IQ is very dangerous, it may be against humanity. The hidden danger in many movie happened.The definition of artificial intelligenceDefinition of artificial intelligence can be divided into two parts, namely "artificial" or "intelligent". "Artificial" better understanding, also is controversial. Sometimes we will consider what people can make, or people have high degree of intelligence to create artificial intelligence, etc. But generally speaking, "artificial system" is usually significance of artificial system.What is the "smart", with many problems. This involves other such as consciousness, ego, thinking (including the unconscious thoughts etc. People only know of intelligence is one intelligent, this is the universal view of our own. But we are very limited understanding of the intelligence of the intelligent people constitute elements are necessary to find, so it is difficult to define what is "artificial" manufacturing "intelligent". So the artificial intelligence research often involved in the study of intelligent itself. Other about animal or other artificial intelligence system is widely considered to be related to the study of artificial intelligence.Artificial intelligence is currently in the computer field, the moreextensive attention. And in the robot, economic and political decisions, control system, simulation system application. In other areas, it also played an indispensable role.The famous American Stanford university professor nelson artificial intelligence research center of artificial intelligence under such a definition: "artificial intelligence about the knowledge of the subject is and how to represent knowledge -- how to gain knowledge and use of scientific knowledge. But another American MIT professor Winston thought: "artificial intelligence is how to make the computer to do what only can do intelligent work." These comments reflect the artificial intelligence discipline basic ideas and basic content. Namely artificial intelligence is the study of human intelligence activities, has certain law, research of artificial intelligence system, how to make the computer to complete before the intelligence needs to do work, also is to study how the application of computer hardware and software to simulate human some intelligent behavior of the basic theory, methods and techniques.Artificial intelligence is a branch of computer science, since the 1970s, known as one of the three technologies (space technology, energy technology, artificial intelligence). Also considered the 21st century (genetic engineering, nano science, artificial intelligence) is one of the three technologies. It is nearly three years it has been developed rapidly, and in many fields are widely applied, and have made great achievements, artificial intelligence has gradually become an independent branch, both in theory and practice are already becomes a system. Its research results are gradually integrated into people's lives, and create more happiness for mankind.Artificial intelligence is that the computer simulation research of some thinking process and intelligent behavior (such as study, reasoning, thinking, planning, etc.), including computer to realize intelligent principle, make similar to that of human intelligence, computer can achieve higher level of computer application. Artificial intelligence will involve the computer science, philosophy and linguistics, psychology, etc. That was almost natural science and social science disciplines, the scope of all already far beyond the scope of computer science and artificial intelligence and thinking science is the relationship between theory and practice, artificial intelligence is in the mode of thinking science technology application level, is one of its application. From the view of thinking, artificial intelligence is notlimited to logical thinking, want to consider the thinking in image, the inspiration of thought of artificial intelligence can promote the development of the breakthrough, mathematics are often thought of as a variety of basic science, mathematics and language, thought into fields, artificial intelligence subject also must not use mathematical tool, mathematical logic, the fuzzy mathematics in standard etc, mathematics into the scope of artificial intelligence discipline, they will promote each other and develop faster.A brief history of artificial intelligenceArtificial intelligence can be traced back to ancient Egypt's legend, but with 1941, since the development of computer technology has finally can create machine intelligence, "artificial intelligence" is a word in 1956 was first proposed, Dartmouth learned since then, researchers have developed many theories and principles, the concept of artificial intelligence, it expands and not in the long history of the development of artificial intelligence, the slower than expected, but has been in advance, from 40 years ago, now appears to have many AI programs, and they also affected the development of other technologies. The emergence of AI programs, creating immeasurable wealth for the community, promoting the development of human civilization.The computer era1941 an invention that information storage and handling all aspects of the revolution happened. This also appeared in the U.S. and Germany's invention is the first electronic computer. Take a few big pack of air conditioning room, the programmer's nightmare: just run a program for thousands of lines to set the 1949. After improvement can be stored procedure computer programs that make it easier to input, and the development of the theory of computer science, and ultimately computer ai. This in electronic computer processing methods of data, for the invention of artificial intelligence could provide a kind of media.The beginning of AIAlthough the computer AI provides necessary for technical basis, but until the early 1950s, people noticed between machine and human intelligence. Norbert Wiener is the study of the theory of American feedback. Most familiar feedback control example is the thermostat. It will be collected room temperature and hope, and reaction temperature compared to open or close small heater, thus controlling environmental temperature. The importance of the study lies in the feedback loop Wiener:all theoretically the intelligence activities are a result of feedback mechanism and feedback mechanism is. Can use machine. The findings of the simulation of early development of AI.1955, Simon and end Newell called "a logical experts" program. This program is considered by many to be the first AI programs. It will each problem is expressed as a tree, then choose the model may be correct conclusion that a problem to solve. "logic" to the public and the AI expert research field effect makes it AI developing an important milestone in 1956, is considered to be the father of artificial intelligence of John McCarthy organized a society, will be a lot of interest machine intelligence experts and scholars together for a month. He asked them to Vermont Dartmouth in "artificial intelligence research in summer." since then, this area was named "artificial intelligence" although Dartmouth learn not very successful, but it was the founder of the centralized and AI AI research for later laid a foundation.After the meeting of Dartmouth, AI research started seven years. Although the rapid development of field haven't define some of the ideas, meeting has been reconsidered and Carnegie Mellon university. And MIT began to build AI research center is confronted with new challenges. Research needs to establish the: more effective to solve the problem of the system, such as "logic" in reducing search; expert There is the establishment of the system can be self learning.In 1957, "a new program general problem-solving machine" first version was tested. This program is by the same logic "experts" group development. The GPS expanded Wiener feedback principle, can solve many common problem. Two years later, IBM has established a grind investigate group Herbert AI. Gelerneter spent three years to make a geometric theorem of solutions of the program. This achievement was a sensation.When more and more programs, McCarthy busy emerge in the history of an AI. 1958 McCarthy announced his new fruit: LISP until today still LISP language. In. "" mean" LISP list processing ", it quickly adopted for most AI developers.In 1963 MIT from the United States government got a pen is 22millions dollars funding for research funding. The machine auxiliary recognition from the defense advanced research program, have guaranteed in the technological progress on this plan ahead of the Soviet union. Attracted worldwide computer scientists, accelerate the pace of development of AI research.Large programAfter years of program. It appeared a famous called "SHRDLU." SHRDLU "is" the tiny part of the world "project, including the world (for example, only limited quantity of geometrical form of research and programming). In the MIT leadership of Minsky Marvin by researchers found, facing the object, the small computer programs can solve the problem space and logic. Other as in the late 1960's STUDENT", "can solve algebraic problems," SIR "can understand the simple English sentence. These procedures for handling the language understanding and logic.In the 1970s another expert system. An expert system is a intelligent computer program system, and its internal contains a lot of certain areas of experience and knowledge with expert level, can use the human experts' knowledge and methods to solve the problems to deal with this problem domain. That is, the expert system is a specialized knowledge and experience of the program system. Progress is the expert system could predict under certain conditions, the probability of a solution for the computer already has. Great capacity, expert systems possible from the data of expert system. It is widely used in the market. Ten years, expert system used in stock, advance help doctors diagnose diseases, and determine the position of mineral instructions miners. All of this because of expert system of law and information storage capacity and become possible.In the 1970s, a new method was used for many developing, famous as AI Minsky tectonic theory put forward David Marr. Another new theory of machine vision square, for example, how a pair of image by shadow, shape, color, texture and basic information border. Through the analysis of these images distinguish letter, can infer what might be the image in the same period. PROLOGE result is another language, in 1972. In the 1980s, the more rapid progress during the AI, and more to go into business. 1986, the AI related software and hardware sales $4.25 billion dollars. Expert system for its utility, especially by demand. Like digital electric company with such company XCON expert system for the VAX mainframe programming. Dupont, general motors and Boeing has lots of dependence of expert system for computer expert. Some production expert system of manufacture software auxiliary, such as Teknowledge and Intellicorp established. In order to find and correct the mistakes, existing expert system and some other experts system was designed,such as teach users learn TVC expert system of the operating system.From the lab to daily lifePeople began to feel the computer technique and artificial intelligence. No influence of computer technology belong to a group of researchers in the lab. Personal computers and computer technology to numerous technical magazine now before a people. Like the United States artificial intelligence association foundation. Because of the need to develop, AI had a private company researchers into the boom. More than 150 a DEC (it employs more than 700 employees engaged in AI research) that have spent 10 billion dollars in internal AI team.Some other AI areas in the 1980s to enter the market. One is the machine vision Marr and achievements of Minsky. Now use the camera and production, quality control computer. Although still very humble, these systems have been able to distinguish the objects and through the different shape. Until 1985 America has more than 100 companies producing machine vision systems, sales were us $8 million.But the 1980s to AI and industrial all is not a good year for years. 1986-87 AI system requirements, the loss of industry nearly five hundred million dollars. Teknowledge like Intellicorp and two loss of more than $6 million, about one-third of the profits of the huge losses forced many research funding cuts the guide led. Another disappointing is the defense advanced research programme support of so-called "intelligent" this project truck purpose is to develop a can finish the task in many battlefield robot. Since the defects and successful hopeless, Pentagon stopped project funding.Despite these setbacks, AI is still in development of new technology slowly. In Japan were developed in the United States, such as the fuzzy logic, it can never determine the conditions of decision making, And neural network, regarded as the possible approaches to realizing artificial intelligence. Anyhow, the eighties was introduced into the market, the AI and shows the practical value. Sure, it will be the key to the 21st century. "artificial intelligence technology acceptance inspection in desert storm" action of military intelligence test equipment through war. Artificial intelligence technology is used to display the missile system and warning and other advanced weapons. AI technology has also entered family. Intelligent computer increase attracting public interest. The emergence of network game, enriching people's life.Some of the main Macintosh and IBM for application software such as voice and character recognition has can buy, Using fuzzy logic,AI technology to simplify the camera equipment. The artificial intelligence technology related to promote greater demand for new progress appear constantly. In a word ,Artificial intelligence has and will continue to inevitably changed our life.附件三英文文献译文人工智能“人工智能”一词最初是在1956 年Dartmouth在学会上提出来的。
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附件四英文文献原文Artificial Intelligence"Artificial intelligence" is a word was originally Dartmouth in 1956 to put forward. From then on, researchers have developed many theories and principles, the concept of artificial intelligence is also expands. Artificial intelligence is a challenging job of science, the person must know computer knowledge, psychology and philosophy. Artificial intelligence is included a wide range of science, it is composed of different fields, such as machine learning, computer vision, etc, on the whole, the research on artificial intelligence is one of the main goals of the machine can do some usually need to perform complex human intelligence. But in different times and different people in the "complex" understanding is different. Such as heavy science and engineering calculation was supposed to be the brain to undertake, now computer can not only complete this calculation, and faster than the human brain can more accurately, and thus the people no longer put this calculation is regarded as "the need to perform complex human intelligence, complex tasks" work is defined as the development of The Times and the progress of technology, artificial intelligence is the science of specific target and nature as The Times change and development. On the one hand it continues to gain new progress on the one hand, and turning to more meaningful, the more difficult the target. Current can be used to study the main material of artificial intelligence and artificial intelligence technology to realize the machine is a computer, the development history of artificial intelligence is computer science and technology and the development together. Besides the computer science and artificial intelligence also involves information, cybernetics, automation, bionics, biology, psychology, logic, linguistics, medicine and philosophy and multi-discipline. Artificial intelligence research include: knowledge representation, automatic reasoning and search method, machine learning and knowledge acquisition and processing of knowledge system, natural language processing, computer vision, intelligent robot, automatic program design, etc.Practical application of machine vision: fingerprint identification,face recognition, retina identification, iris identification, palm, expert system, intelligent identification, search, theorem proving game, automatic programming, and aerospace applications.Artificial intelligence is a subject categories, belong to the door edge discipline of natural science and social science.Involving scientific philosophy and cognitive science, mathematics, neurophysiological, psychology, computer science, information theory, cybernetics, not qualitative theory, bionics.The research category of natural language processing, knowledge representation, intelligent search, reasoning, planning, machine learning, knowledge acquisition, combined scheduling problem, perception, pattern recognition, logic design program, soft calculation, inaccurate and uncertainty, the management of artificial life, neural network, and complex system, human thinking mode of genetic algorithm.Applications of intelligent control, robotics, language and image understanding, genetic programming robot factory.Safety problemsArtificial intelligence is currently in the study, but some scholars think that letting computers have IQ is very dangerous, it may be against humanity. The hidden danger in many movie happened.The definition of artificial intelligenceDefinition of artificial intelligence can be divided into two parts, namely "artificial" or "intelligent". "Artificial" better understanding, also is controversial. Sometimes we will consider what people can make, or people have high degree of intelligence to create artificial intelligence, etc. But generally speaking, "artificial system" is usually significance of artificial system.What is the "smart", with many problems. This involves other such as consciousness, ego, thinking (including the unconscious thoughts etc. People only know of intelligence is one intelligent, this is the universal view of our own. But we are very limited understanding of the intelligence of the intelligent people constitute elements are necessary to find, so it is difficult to define what is "artificial" manufacturing "intelligent". So the artificial intelligence research often involved in the study of intelligent itself. Other about animal or other artificial intelligence system is widely considered to be related to the study of artificial intelligence.Artificial intelligence is currently in the computer field, the moreextensive attention. And in the robot, economic and political decisions, control system, simulation system application. In other areas, it also played an indispensable role.The famous American Stanford university professor nelson artificial intelligence research center of artificial intelligence under such a definition: "artificial intelligence about the knowledge of the subject is and how to represent knowledge -- how to gain knowledge and use of scientific knowledge. But another American MIT professor Winston thought: "artificial intelligence is how to make the computer to do what only can do intelligent work." These comments reflect the artificial intelligence discipline basic ideas and basic content. Namely artificial intelligence is the study of human intelligence activities, has certain law, research of artificial intelligence system, how to make the computer to complete before the intelligence needs to do work, also is to study how the application of computer hardware and software to simulate human some intelligent behavior of the basic theory, methods and techniques.Artificial intelligence is a branch of computer science, since the 1970s, known as one of the three technologies (space technology, energy technology, artificial intelligence). Also considered the 21st century (genetic engineering, nano science, artificial intelligence) is one of the three technologies. It is nearly three years it has been developed rapidly, and in many fields are widely applied, and have made great achievements, artificial intelligence has gradually become an independent branch, both in theory and practice are already becomes a system. Its research results are gradually integrated into people's lives, and create more happiness for mankind.Artificial intelligence is that the computer simulation research of some thinking process and intelligent behavior (such as study, reasoning, thinking, planning, etc.), including computer to realize intelligent principle, make similar to that of human intelligence, computer can achieve higher level of computer application. Artificial intelligence will involve the computer science, philosophy and linguistics, psychology, etc. That was almost natural science and social science disciplines, the scope of all already far beyond the scope of computer science and artificial intelligence and thinking science is the relationship between theory and practice, artificial intelligence is in the mode of thinking science technology application level, is one of its application. From the view of thinking, artificial intelligence is not limited to logicalthinking, want to consider the thinking in image, the inspiration of thought of artificial intelligence can promote the development of the breakthrough, mathematics are often thought of as a variety of basic science, mathematics and language, thought into fields, artificial intelligence subject also must not use mathematical tool, mathematical logic, the fuzzy mathematics in standard etc, mathematics into the scope of artificial intelligence discipline, they will promote each other and develop faster.A brief history of artificial intelligenceArtificial intelligence can be traced back to ancient Egypt's legend, but with 1941, since the development of computer technology has finally can create machine intelligence, "artificial intelligence" is a word in 1956 was first proposed, Dartmouth learned since then, researchers have developed many theories and principles, the concept of artificial intelligence, it expands and not in the long history of the development of artificial intelligence, the slower than expected, but has been in advance, from 40 years ago, now appears to have many AI programs, and they also affected the development of other technologies. The emergence of AI programs, creating immeasurable wealth for the community, promoting the development of human civilization.The computer era1941 an invention that information storage and handling all aspects of the revolution happened. This also appeared in the U.S. and Germany's invention is the first electronic computer. Take a few big pack of air conditioning room, the programmer's nightmare: just run a program for thousands of lines to set the 1949. After improvement can be stored procedure computer programs that make it easier to input, and the development of the theory of computer science, and ultimately computer ai. This in electronic computer processing methods of data, for the invention of artificial intelligence could provide a kind of media.The beginning of AIAlthough the computer AI provides necessary for technical basis, but until the early 1950s, people noticed between machine and human intelligence. Norbert Wiener is the study of the theory of American feedback. Most familiar feedback control example is the thermostat. It will be collected room temperature and hope, and reaction temperature compared to open or close small heater, thus controlling environmental temperature. The importance of the study lies in the feedback loop Wiener:all theoretically the intelligence activities are a result of feedback mechanism and feedback mechanism is. Can use machine. The findings of the simulation of early development of AI.1955, Simon and end Newell called "a logical experts" program. This program is considered by many to be the first AI programs. It will each problem is expressed as a tree, then choose the model may be correct conclusion that a problem to solve. "logic" to the public and the AI expert research field effect makes it AI developing an important milestone in 1956, is considered to be the father of artificial intelligence of John McCarthy organized a society, will be a lot of interest machine intelligence experts and scholars together for a month. He asked them to Vermont Dartmouth in "artificial intelligence research in summer." since then, this area was named "artificial intelligence" although Dartmouth learn not very successful, but it was the founder of the centralized and AI AI research for later laid a foundation.After the meeting of Dartmouth, AI research started seven years. Although the rapid development of field haven't define some of the ideas, meeting has been reconsidered and Carnegie Mellon university. And MIT began to build AI research center is confronted with new challenges. Research needs to establish the: more effective to solve the problem of the system, such as "logic" in reducing search; expert There is the establishment of the system can be self learning.In 1957, "a new program general problem-solving machine" first version was tested. This program is by the same logic "experts" group development. The GPS expanded Wiener feedback principle, can solve many common problem. Two years later, IBM has established a grind investigate group Herbert AI. Gelerneter spent three years to make a geometric theorem of solutions of the program. This achievement was a sensation.When more and more programs, McCarthy busy emerge in the history of an AI. 1958 McCarthy announced his new fruit: LISP until today still LISP language. In. "" mean" LISP list processing ", it quickly adopted for most AI developers.In 1963 MIT from the United States government got a pen is 22millions dollars funding for research funding. The machine auxiliary recognition from the defense advanced research program, have guaranteed in the technological progress on this plan ahead of the Soviet union. Attracted worldwide computer scientists, accelerate the pace of development of AI research.Large programAfter years of program. It appeared a famous called "SHRDLU." SHRDLU "is" the tiny part of the world "project, including the world (for example, only limited quantity of geometrical form of research and programming). In the MIT leadership of Minsky Marvin by researchers found, facing the object, the small computer programs can solve the problem space and logic. Other as in the late 1960's STUDENT", "can solve algebraic problems," SIR "can understand the simple English sentence. These procedures for handling the language understanding and logic.In the 1970s another expert system. An expert system is a intelligent computer program system, and its internal contains a lot of certain areas of experience and knowledge with expert level, can use the human experts' knowledge and methods to solve the problems to deal with this problem domain. That is, the expert system is a specialized knowledge and experience of the program system. Progress is the expert system could predict under certain conditions, the probability of a solution for the computer already has. Great capacity, expert systems possible from the data of expert system. It is widely used in the market. Ten years, expert system used in stock, advance help doctors diagnose diseases, and determine the position of mineral instructions miners. All of this because of expert system of law and information storage capacity and become possible.In the 1970s, a new method was used for many developing, famous as AI Minsky tectonic theory put forward David Marr. Another new theory of machine vision square, for example, how a pair of image by shadow, shape, color, texture and basic information border. Through the analysis of these images distinguish letter, can infer what might be the image in the same period. PROLOGE result is another language, in 1972. In the 1980s, the more rapid progress during the AI, and more to go into business. 1986, the AI related software and hardware sales $4.25 billion dollars. Expert system for its utility, especially by demand. Like digital electric company with such company XCON expert system for the VAX mainframe programming. Dupont, general motors and Boeing has lots of dependence of expert system for computer expert. Some production expert system of manufacture software auxiliary, such as Teknowledge and Intellicorp established. In order to find and correct the mistakes, existing expert system and some other experts system was designed,such as teach users learn TVC expert system of the operating system.From the lab to daily lifePeople began to feel the computer technique and artificial intelligence. No influence of computer technology belong to a group of researchers in the lab. Personal computers and computer technology to numerous technical magazine now before a people. Like the United States artificial intelligence association foundation. Because of the need to develop, AI had a private company researchers into the boom. More than 150 a DEC (it employs more than 700 employees engaged in AI research) that have spent 10 billion dollars in internal AI team.Some other AI areas in the 1980s to enter the market. One is the machine vision Marr and achievements of Minsky. Now use the camera and production, quality control computer. Although still very humble, these systems have been able to distinguish the objects and through the different shape. Until 1985 America has more than 100 companies producing machine vision systems, sales were us $8 million.But the 1980s to AI and industrial all is not a good year for years. 1986-87 AI system requirements, the loss of industry nearly five hundred million dollars. Teknowledge like Intellicorp and two loss of more than $6 million, about one-third of the profits of the huge losses forced many research funding cuts the guide led. Another disappointing is the defense advanced research programme support of so-called "intelligent" this project truck purpose is to develop a can finish the task in many battlefield robot. Since the defects and successful hopeless, Pentagon stopped project funding.Despite these setbacks, AI is still in development of new technology slowly. In Japan were developed in the United States, such as the fuzzy logic, it can never determine the conditions of decision making, And neural network, regarded as the possible approaches to realizing artificial intelligence. Anyhow, the eighties was introduced into the market, the AI and shows the practical value. Sure, it will be the key to the 21st century. "artificial intelligence technology acceptance inspection in desert storm" action of military intelligence test equipment through war. Artificial intelligence technology is used to display the missile system and warning and other advanced weapons. AI technology has also entered family. Intelligent computer increase attracting public interest. The emergence of network game, enriching people's life.Some of the main Macintosh and IBM for application software such as voice and character recognition has can buy, Using fuzzy logic,AI technology to simplify the camera equipment. The artificial intelligence technology related to promote greater demand for new progress appear constantly. In a word ,Artificial intelligence has and will continue to inevitably changed our life.附件三英文文献译文人工智能“人工智能”一词最初是在1956 年Dartmouth在学会上提出来的。