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留学生essay代写精选范文:“The development of artificial intelligence”,这篇论文讨论了人工智能的发展。人工智能是如今世界上顶尖的技术之一,它将智能机器和机器智能两者融合,能够完成大多数人类能完成的甚至是完成不了的工作。人工智能的发展经历了三个阶段,从最开始只能简单代替人们完成部分逻辑工作,到现在的类人的认知和思维能力,已经拥有了超越人类的能力。

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AI, also known as machine intelligence, it is computer science, cybernetics, information theory, neurophysiology, psychology, linguistics and other disciplines mutual penetration of a comprehensive discipline and developed. From the point of view of computer applications, artificial intelligence research is how to create intelligent machines or intelligent systems, the ability to simulate human intelligence activities implemented to extend intelligent people of science. Artificial intelligence is a cross-disciplinary, is one involving psychology, cognitive science, technical disciplines integrated multidisciplinary thinking science, information science, systems science and biological sciences, has knowledge processing, pattern recognition, natural language processing, game theory, automated theorem proving, have made remarkable achievements in many fields automatic programming, expert systems, knowledge base, intelligent robots, and formed a diversification of development.

AI leap experienced three stages: the first is to achieve problem solving, logical reasoning section instead of human work, such as machine theorem proving and expert systems; the second is the intelligent system is able to interact with the environment and, obtain information from the operating environment, instead of human thinking part of the work, including uncertainties including, through its own actions, exert influence on the environment, and to adapt to environmental changes, such as intelligent robots; the third is the intelligent system, with class person's cognitive and thinking skills, be able to discover new knowledge, to complete the task facing as based on data mining system.

AI research emergence of a new climax, this is because with the new advances in artificial intelligence theory, on the other hand because of the rapid development of computer hardware. With the improvement of computer speed, storage capacity continues to expand, continue to lower prices, as well as the continuous development of network technology, many of the original could not be done now been able to achieve. Currently three research focus is artificial intelligence: intelligent interface, data mining, body and multi-body system.

Intelligent interface technology is the study of how people can easily communicate naturally with computers. To achieve this goal, it requires a computer can read text, understand language, speech expression, even able to translate between different languages, knowledge representation and study of these functions are also dependent on. Therefore, the study of intelligent interface technology both great value, meaning and theoretical basis. At present, the intelligent interface technology has made remarkable achievements, character recognition, speech recognition, speech synthesis, image recognition, machine translation and natural language understanding technology has been put into practical use.

Data mining is a lot of, incomplete, noisy, fuzzy, random data is extracted from the practical application of implicit therein, it is not known in advance, but it is potentially useful information and process knowledge. Data Mining and Knowledge Discovery has formed three strong pillars of technology: databases, artificial intelligence and mathematical statistics. The main contents include basic theory, discovery algorithm, data warehousing, visualization techniques, qualitative and quantitative exchange model, knowledge representation, knowledge discovery maintenance and re-use, semi-structured and unstructured data online knowledge discovery and data mining Wait.

The main system is a belief, an entity wishes, intentions, capabilities, choices, commitments and other mental states, larger than the size of the object, the higher intelligence, but also has a certain autonomy. The body tries to self-government, independently complete the task, but also can interact with the environment, communications and other subjects, by planning to achieve the goal. The main multi-agent systems coordination intelligent behavior between multiple subjects separated logically or physically, and ultimately solve the problem. Trying to use multi-agent systems to simulate the human body rational behavior, mainly used in the field of simulation of the real world and society, robots and intelligent machinery. Current research on the subject and multi-agent systems are mainly concentrated in the main body and multi-body theory, architecture and organization of the body, the body language, collaboration and coordination between the body, communications and interactive technology, learning and multi-agent multi-system applications such as body aspect.

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Expert System is a large amount of expertise and experience in program system has, the expert system stored in a specialized area, subject to prior summary, press a pattern analysis expert knowledge representation, and It has a mechanism similar to the reasoning domain experts to solve practical problems. Development and research of artificial intelligence expert system is one of the most active areas of applied research, covering all aspects of society.

Knowledge base system, also known as the database system, is a computer software system stores the fact that a large number of subjects, which can answer questions about the subject raised by users. Design knowledge base system is an active branch of computer science. In order to effectively represent, store and retrieve large number of facts, we have developed a number of techniques. However, in the design of intelligent information retrieval system or encountered many problems, including the understanding of natural language, the answer to the question of the interpretation of the facts storage, understanding the challenge and interpretation of the answers are likely to exceed the required knowledge of the subject area represented by the database .

Developed from a research field of computer vision pattern recognition as an independent discipline. Visual problem is one of perception. The whole point is the formation of a perception problem scouring said to represent the difficult to handle extremely large input data unprocessed. The nature and quality of the final representation of perception depends on the target system. Frontier Research machine vision comprises a real-time parallel processing qualitative visual active, dynamic vision and the time-varying three-dimensional modeling and scene recognition, real-time image transmission and compression recovery, processing and interpretation of the multispectral image and the color and the like. Machine vision has been very widely used in robotic assembly, satellite image processing, industrial process monitoring, vehicle tracking and guidance and live television and other fields.

Pattern recognition is to identify a given object or specimen identification imitated. Computer pattern recognition system can make up a computer to the outside world's perception of low defects, enabling the computer to accept outside information through the senses, recognize and understand the surrounding environment. Pattern recognition has made many achievements in recognition of the two-dimensional text, graphics and images, three-dimensional scene, identify and analyze aspects of the moving target is hot topic at present, but it is still very important basis for intelligent computers and intelligent robotics research . In addition, artificial intelligence is also machine vision, a combination of scheduling, natural language understanding, machine learning, game theory, theorem proving and other research applications play an important role. It can be said artificial intelligence has penetrated all walks of life, made a great contribution to human society.

Problems robotics research, from the best mobile robot arm to the planning method sequence of actions to achieve the goal of the robot, all-encompassing. Despite the establishment of some of the more complex robotic systems, but now the robots are running on industry are some simple device to perform some repetitive tasks by pre-programmed, most industrial robots are "blind." Robots and robotics research to promote the development of many artificial intelligence thought. Research and application of intelligent robots reflect the wide range of interdisciplinary, involving many subjects. Robots have been gaining more and more widely used in industry, agriculture, commerce, tourism, air and marine and defense.

Fifth, the artificial intelligence of the future development of the vast majority of artificial intelligence systems are built on physical symbol system hypothesis. Before the new artificial intelligence and physical symbol system hypothesis can compete has not yet appeared, in terms of design principles or from the experimental results achieved point of view, Soar to explore the specific characteristics of intelligent behavior and general characteristics of human cognition is difficult the journey have made distinctive progress or achievements, cutting-edge research in artificial intelligence. In the 1980s, researchers at NewellA represented summed up the successful experience of the expert system to absorb the latest achievements of cognitive science research, proposed a structure Soar as general intelligence based system. The current Soar has shown strong problem solving ability. Soar has been achieved in 30 kinds of search methods, to achieve a number of knowledge-intensive tasks (expert systems), such as RI and so on. For the future direction of development of artificial intelligence experts through a number of prospective studies of artificial intelligence can be seen in the future may develop to the following aspects: blur, parallelism, neural networks and their emotions.

Currently, artificial intelligence inference has been a breakthrough, learning and association functions under study, the next step is to mimic the blur function of the human brain right brain and the entire parallel processing capabilities. Artificial neural networks are the future of the new field of artificial intelligence applications. Future constitute intelligent computer, probably in conjunction with a host of von Neumann machines and artificial neural networks as an intelligent peripheral. Studies have shown that: emotions are part of intelligence, rather than separate and intelligent, so that the next breakthrough in the field of artificial intelligence is to give computer might emotional competence. Emotional competence is crucial for computer interaction and human nature.

Artificial intelligence has been at the forefront of computer technology, applied in various fields are quite broad, and the theory of artificial intelligence research and discovery will largely determine the direction of development of computer technology. Now, there have been many achievements of artificial intelligence research into people's daily lives, taking into account the good prospects for the development and application of artificial intelligence, we should increase the intensity of artificial intelligence research, allowed to better serve humanity . I believe that in the near future, artificial intelligence will have more breakthroughs, the development of artificial intelligence technology will give people the life, work and education to bring greater impact.

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