Artificial Intelligence Essay

Artificial intelligence service EssayThis paper is the introduction to Artificial learning (AI). Artificial intelligence is exhibited by counterfeit entity, a system is generally assumed to be a computer. AI systems are now in issue use in economics, medicine, engineering and the military, as well as being built into many common home computer software applications, conventional schema games like computer chess and other video games.We tried to explain the brief ideas of AI and its application to various fields. It cleared the concept of reckoningal and stodgy categories. It includes various advanced systems such as Neural Network, Fuzzy Systems and Evolutionary computation. AI is used in typical problems such as Pattern identification, intrinsic language processing and more. This system is working through unwrap the realness as an imitative brain.Intelligence involves mechanisms, and AI research has discovered how to make computers carry out some(prenominal) of them and not others. If doing a task requires only mechanisms that are well understood today, computer programs can give genuinely impressive performances on these tasks. such programs should be considered somewhat intelligent. It is related to the similar task of using computers to understand human intelligence.We can learn something virtually how to make machines solve problems by observant other people or just by observing our own methods. On the other hand, most work in AI involves studying the problems the world presents to intelligence rather than studying people or animals. AI researchers are free to use methods that are not observed in people or that involve much more computing than people can do. We discussed conditions for considering a machine to be intelligent. We argued that if the machine could successfully pretend to be human to a noesisable observer then you certainly should consider it intelligent.INTRODUCTION -Artificial intelligence (AI) -Artificial intelligence (AI) is defined as intelligence exhibited by an artificial entity. Such a system is generally assumed to be a computer.Although AI has a strong science fiction connotation, it forms a vital beginning of computer science, dealing with intelligent behaviour, learning and adaptation in machines. Research in AI is concerned with producing machines to automate tasks requiring intelligent behavior. Examples include control, planning and scheduling, the aptitude to answer diagnostic and consumer questions, handwriting, speech, and facial recognition. As such, it has become a scientific discipline, focused on providing solutions to real life problems. AI systems are now in routine use in economics, medicine, engineering and the military, as well as being built into many common home computer software applications, traditional strategy games like computer chess and other video games.History -The intellectual roots of AI, and the concept of intelligent machines, may be found in Greek mythology. I ntelligent artifacts appear in literature since then, with real mechanical devices actually demonstrating behaviour with some degree of intelligence. After modern computers became operable sideline World War-II, it has become possible to create programs that perform difficult intellectual tasks.1950 1960-The prototypical working AI programs were written in 1951 to run on the Ferranti break I machine of the University of Manchester (UK) a draughts-playing program written by Christopher Strachey and a chess-playing program written by Dietrich Prinz.1960 1970 -During the 1960s and 1970s Marvin Minsky and Seymour Papert publish Perceptrons, demonstrating limits of simple skittish nets and Alain Colmerauer developed the Prolog computer language. Ted Shortliffe demonstrated the power of rule-based systems for knowledge representation and inference in medical diagnosis and therapy in what is sometimes called the first sharp system. Hans Moravec developed the first computer-controll ed vehicle to autonomously negotiate cluttered obstacle courses.1980s ONWARDS -In the 1980s, neural net plant became widely used with the back propagation algorithm, first described by Paul John Werbos in 1974. The 1990s marked major achievements in many areas of AI and demonstrations of various applications. Most notably enigmatical Blue, a chess-playing computer, beat Garry Kasparov in a famous six-game match in 1997.Categories of AI -AI divides roughly into two schools of thoughtConventional AI.Computational Intelligence (CI).Conventional AI -Conventional AI mostly involves methods now classified as machine learning, characterized by formalism and statistical analysis. This is also known as symbolic AI, logical AI, neat AI and Good Old Fashioned Artificial Intelligence (GOFAI).Methods includeExpert systems apply reasoning capabilities to reach a conclusion. An expert system can process large amounts of known information and provide conclusions based on them.Case based reasoningB ayesian networks way based AI a modular method of building AI systems by hand. Computational Intelligence (CI) -Computational Intelligence involves iterative development or learning (e.g. parameter tuning e.g. in connectionist systems). Learning is based on empirical data and is associated with non-symbolic AI, scruffy AI and soft computing.Methods includeNeural networks systems with very strong pattern recognition capabilities.Fuzzy systems techniques for reasoning under uncertainty, has been widely used in modern industrial and consumer product control systems.Evolutionary computation applies biologically inspired concepts such as populations, mutation and survival of the fittest to generate increasingly remedy solutions to the problem. These methods most notably divide into evolutionary algorithms (e.g. genetic algorithms) and cloud intelligence (e.g. ant algorithms).Typical problems to which AI methods are applied -Pattern recognitionOptical character recognitionHandwriting re cognitionSpeech recognitionFace recognitionNatural language processing, Translation and Chatter botsNon-linear control and RoboticsComputer vision, Virtual reality and Image processingGame theory and strategic planningOther fields in which AI methods are implemented -Automation.Cybernetics.Hybrid intelligent system.Intelligent agent.Intelligent control.Automated reasoning.Data mining.Behavior-based robotics.Cognitive robotics.developmental robotics.Evolutionary robotics.Chatbot.Knowledge Representation.American Association for Artificial Intelligence (AAAI) -Founded in 1979, the American Association for Artificial Intelligence (AAAI) is a nonprofit scientific club devoted to advancing the scientific understanding of the mechanisms fundamental thought and intelligent behaviour and their embodiment in machines. AAAI also aims to increase public understanding of artificial intelligence, improve the teaching and training of AI practitioners, and provide guidance for research planners and funders concerning the importance and potential of current AI developments and future directions.APPLICATIONS OF AI -Game contend -You can buy machines that can play master level chess for a few hundred dollars. There is some AI in them, only they play well against people mainly through brute force computationlooking at hundreds of thousands of positions.Speech Recognition -In the 1990s, computer speech recognition reached a practical level for limited purposes. Thus United Airlines has replaced its keyboard tree for escapism information by a system using speech recognition of flight numbers and city names. It is quite convenient. On the other hand, while it is possible to instruct some computers using speech, most users slang gone back to the keyboard and the blow as still more convenient.Understanding Natural Language -Just getting a sequence of words into a computer is not enough. Parsing sentences is not enough either. The computer has to be provided with an understandi ng of the domain the text is about, and this is presently possible only for very limited domains.Computer Vision -The world is self-possessed of three-dimensional objects, scarcely the inputs to the human eye and computers TV cameras are two dimensional. Some useful programs can work solely in two dimensions, but full computer vision requires partial three-dimensional information that is not just a set of two-dimensional views. At present there are only limited ways of representing three-dimensional information directly, and they are not as good as what humans evidently use.Expert Systems -A knowledge engineer interviews experts in a certain domain and tries to embody their knowledge in a computer program for carrying out some task. How well this works depends on whether the intellectual mechanisms required for the task are within the present state of AI. One of the first expert systems was MYCIN in 1974, which diagnosed bacterial infections of the blood and suggested treatments. It did better than medical students or practicing doctors, provided its limitations were observed.Heuristic Classification -One of the most feasible kinds of expert system given the present knowledge of AI is to put some information in one of a fixed set of categories using several sources of information. An example is advising whether to accept a proposed credit card purchase. Information is available about the owner of the credit card, his record of payment and also about the item he is buying and about the establishment from which he is buying it (e.g., about whether there have been previous credit card frauds at this establishment).Conclusion -We conclude that if the machine could successfully pretend to be human to a wise(p) observer then you certainly should consider it intelligent. AI systems are now in routine use in various field such as economics, medicine, engineering and the military, as well as being built into many common home computer software applications, tradition al strategy games etc.AI is an exciting and rewarding discipline. AI is branch of computer science that is concerned with the automation of intelligent behavior. The revised definition of AI is AI is the study of mechanisms underlying intelligent behavior through the construction and evaluation of artifacts that attempt to enact those mechanisms. So it is concluded that it work as an artificial human brain which have an unbelievable artificial thinking power.Programs with reciprocal Sense -John McCarthy, In Mechanization of Thought Processes, Proceedings of the Symposium of the National Physics Laboratory, 1959.Artificial Intelligence, Logic and Formalizing Common Sense -Richmond Thomason, editor, Philosophical Logic and Artificial Intelligence. Klver Academic, 1989.Concepts of Logical AI -Tom Mitchell.Machine Learning.McGraw-Hill, 1997.Logic and artificial intelligence -Richmond Thomason.In EdwardN. Zalta, editor, The Stanford cyclopaedia of Philosophy. Fall 2003.http//plato.sta nford.edu/archives/fall2003/entries/logic-ai/.LINKS -http//www.aaai.org/http//www-formal.stanford.edu/http//insight.zdnet.co.uk/hardware/emergingtech/http//www.genetic-programming.com/