...Artificial intelligence From Wikipedia, the free encyclopedia Jump to: navigation, search "AI" redirects here. For other uses, see Ai. For other uses, see Artificial intelligence (disambiguation). Artificial intelligence (AI) is the intelligence of machines and the branch of computer science that aims to create it. AI textbooks define the field as "the study and design of intelligent agents"[1] where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success.[2] John McCarthy, who coined the term in 1955,[3] defines it as "the science and engineering of making intelligent machines."[4] AI research is highly technical and specialized, deeply divided into subfields that often fail to communicate with each other.[5] Some of the division is due to social and cultural factors: subfields have grown up around particular institutions and the work of individual researchers. AI research is also divided by several technical issues. There are subfields which are focussed on the solution of specific problems, on one of several possible approaches, on the use of widely differing tools and towards the accomplishment of particular applications. The central problems of AI include such traits as reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects.[6] General intelligence (or "strong AI") is still among the field's long term goals.[7] Currently popular approaches include statistical...
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...1.INTRODUCTION: Artificial Intelligence is the science and engineering of making intelligent machines, especially intelligent computer programs. It includes people,procedure,hardware,software,data and knowledge needed to develop computer systems and machines that demonstrated characteristics of intelligence.It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable. Intelligence is basically the computational part of the ability to achieve goals in the world. Varying kinds and degrees of intelligence occur in people, many animals and some machines.There is no solid definition of intelligence relating it to human intelligence. The problem is that it cannot yet be characterize in general what kinds of computational procedures can be called intelligent. We understand some of the mechanisms of intelligence and not others. Sometimes Artificial Intelligence is about simulating human intelligence but not always.On the one hand, we can learn something about how to make machines solve problems by observing 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 textbooks define the field as "the study and design of intelligent agents where an intelligent agent is a system that perceives its environment and takes actions that maximize its...
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...purpose from the desires of his imagination and the rare strength of his will to create. His implements have been modified as time has gone on, but his longing, his passion to create; to change his world has not. The paper will address Artificial Intelligence from several aspects. The history, the key players, everyday uses, technologies and the future will be conversed. Definition Artificial intelligence is defined as the study of intelligent behavior and the attempt to find ways in which such behavior could be engineered in any type of artifact. Simply is the act of putting human intelligence into a machine. AI is a major section of computer science dealing with the reformation of intelligent behavior in computers: the capability of a machine to emulate intelligent human behavior. It can be correlated to the parallel task of using computers to understand human intelligence; however AI does not have to limit itself to methods that are physically visible. History The pursuit for artificial intelligence is not a new venture for science it’s been around before Christ. Even in Egyptian times looked to talking statues for mystical advice the quest for the thinking machine was there. Artificial intelligence (AI) are both a term and a science was coined 120 years later, after the operational digital computer had made...
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...Artificial Intelligence in Society Bob Bobby Yale College Abstract This report deals with artificial intelligence in society. My motivation for writing this report was to expand my reader and my own knowledge of artificial intelligence. I read news articles, journals, books, blogs, and watched online lectures to get this information. The topics that will be discussed are the first mention of anything remotely related in AI in history, then when actual progress was made, what that progress was and its stages, then the most popular artificial intelligence machines created, and finally ending on the discussion of the future of AI and the possibility of the singularity. Artificial Intelligence in Society Introduction Unbeknownst to me at the time my first experience with artificial intelligence was playing video games. I must have been at the ripe age of 5 already feverishly enjoying my Super Nintendo and Mario games. It never occurred to me the coding, algorithms, and all the hard work that was required to have the computer, my “opponent,” be challenging. My only assumption was it was always like that. It wasn’t until years later did I get the opportunity to see how artificial intelligence (AI) began. AI didn’t start so children could have fun; it started because some men had a dream, a dream to create artificial intelligent machine. The topics I will cover will be one of the first mentions of AI, the beginning of what we currently call AI, current AI systems that were...
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...Introduction Imagine a world, a possibility, humans stopped controlling Artificial intelligence or AI. Four researchers have explored this idea, they have brought four hypotheses on the table on how this would happen and how to prevent it from happening. The authors Stuart Russel, Sabine Hauert, Russ Altman, and Manuela Veloso of the article Ethics of Artificial intelligence give ideas that are very intriguing and worth taking a more critical look at the rhetorical devices they use in their article. In a nutshell on Ward and Vander Lei text there are seven main rhetorical devices, they are purpose, point, author, audience, organization, and research and evidence this essay will look at the article Ethics of artificial intelligence in this light....
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...ARTIFICIAL INTELLIGENCE IN BUSINESS. Artificial Intelligence In Business * Artificial Intelligence is a field of science and technology based on disciplines such as computer science, biology, psychology, linguistics, mathematics and engineering. * The goal of AI is to develop computers that can simulate the ability to think ,as well as , hear , walk , talk and feel. * Artificial intelligence technologies are being used in a variety of ways to improve the decision support provided to managers and business professionals in many companies. * Artificial Intelligence enabled applications are at work in * Information distribution and retrieval * Database mining * Product design * Manufacturing inspection * Training * User support * Surgical Planning * Resource scheduling * Complex resource management * A major thrust of Artificial Intelligence is the simulation of computer functions normally associated with human intelligence such as reasoning, learning and problem solving etc. * In 1950 Alan Turing, British Artificial Intelligence pioneer proposed a test to determine whether machines could think. According to Turing test, a computer could demonstrate intelligence if a human interviewer, conversing with an unseen human and an unseen computer could not tell which was which. * Critics believe that no computer can truly pass the Turing test. They claim that it is not possible to develop intelligence to impart true humanlike...
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...Artificial Intelligence Vs Humanity: Why we should think about the threat of Artificial Intelligence? Artificial Intelligence is definitely a touchy subject for the human race. The very mention of the term conjures up images of apocalyptic societies where intelligent super-computers have either enslaved the human race or eradicated the inferior species altogether. For some, the connotation of "artificial intelligence" attacks the very core of the human spirit, the pride of our race. The very thought of an "intelligent" computer that is on par, or more likely superior, to our own brain sends chills down the spine. Are these concerns realistic? Or are they unfounded worries of people who don't understand the issue? Some proponents of artificial intelligence insist that such concerns are the result of semantic misunderstanding. By definition, Artificial Intelligence (AI) is the area of computer science focusing on creating machines that can engage on behaviors that humans consider intelligent ("Artificial Intelligence”, Herzfeld Noreen). The ability to create intelligent machines has intrigued humans since ancient times and today with the advent of the computer and 50 years of research into AI programming techniques, the dream of smart machines is becoming a reality (Nonlinear Science and Complexity, M. Marques). Researchers are creating systems which can mimic human thought, understand speech, beat the best human chess player, and countless other feats never before possible...
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...Artificial intelligence (AI) is the intelligence exhibited by machines or software, and the branch of computer science that develops machines and software with intelligence. Major AI researchers and textbooks define the field as "the study and design of intelligent agents",[1] where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success.[2] John McCarthy, who coined the term in 1955,[3] defines it as "the science and engineering of making intelligent machines".[4] AI research is highly technical and specialised, and is deeply divided into subfields that often fail to communicate with each other.[5] Some of the division is due to social and cultural factors: subfields have grown up around particular institutions and the work of individual researchers. AI research is also divided by several technical issues. Some subfields focus on the solution of specific problems. Others focus on one of several possible approaches or on the use of a particular tool or towards the accomplishment of particular applications. The central problems (or goals) of AI research include reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects.[6] General intelligence (or "strong AI") is still among the field's long term goals.[7] Currently popular approaches include statistical methods, computational intelligence and traditional symbolic AI. There are an enormous number of tools...
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...ARTIFICIAL INTELLIGENCE Paper Presentation On “Artificial Intelligence(AI)” INDEX :1. ABSTRACT. 1 ARTIFICIAL INTELLIGENCE ARTIFICIAL INTELLIGENCE 2. INTRODUCTION. 3. HISTORY OF AI. 4. CATEGORIES OF AI. A. CONVENTIONAL AI. B. COMPUTATIONAL INTELLIGENCE (CI). 5. FIELDS OF AI. 6. AAAI. 7. APPLICATIONS. ABSTRACT This paper is the introduction to Artificial intelligence (AI). Artificial intelligence is exhibited by artificial entity, a system is generally assumed to be a computer. 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. We tried to explain the brief ideas of AI and its application to various fields. It cleared the concept of computational and conventional categories. It includes various advanced systems such as Neural Network, Fuzzy Systems and Evolutionary computation. AI is used in typical problems such as Pattern 2 ARTIFICIAL INTELLIGENCE ARTIFICIAL INTELLIGENCE recognition, Natural language processing and more. This system is working throughout the world as an artificial brain. Intelligence involves mechanisms, and AI research has discovered how to make computers carry out some of them and not others. If doing a task requires only mechanisms that are well understood today, computer programs can give very impressive performances on these tasks. Such programs should...
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...net/ajaysuman/artificial-intelligence-in-business ARTIFICIAL INTELLIGENCE IN BUSINESS Introduction Business applications utilize the specific technologies mentioned earlier to try and make better sense of potentially enormous variability (for example, unknown patterns/relationships in sales data, customer buying habits, and so on). However, within the corporate world, AI is widely used for complex problem-solving and decision-support techniques in real-time business applications. The business applicability of AI techniques is spread across functions ranging from finance management to forecasting and production. In the fiercely competitive and dynamic market scenario, decision-making has become fairly complex and latency is inherent in many processes. In addition, the amount of data to be analyzed has increased substantially. AI technologies help enterprises reduce latency in making business decisions, minimize fraud and enhance revenue opportunities. Definition of AI AI is a broad discipline that promises to simulate numerous innate human skills such as automatic programming, case-based reasoning, neural networks, decision-making, expert systems, natural language processing, pattern recognition and speech recognition etc. AI technologies bring more complex data-analysis features to existing applications. There are many definitions that attempt to explain what Artificial Intelligence (AI) is. I like to think of AI as a science that investigates knowledge and intelligence, possibly...
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...Artificial Intelligence (AI), a branch of computer science, is the study of intelligent systems (i.e. software, computers, robots, etc.). Alternatively, it may be defined as "the study and design of intelligent agents" where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success. John McCarthy, who coined the term in 1955, defines it as "the science and engineering of making intelligent machines." AI research is highly technical and specialised, deeply divided into subfields that often fail to communicate with each other.Some of the division is due to social and cultural factors: subfields have grown up around particular institutions and the work of individual researchers. AI research is also divided by several technical issues. There are subfields which are focused on the solution of specific problems, on one of several possible approaches, on the use of widely differing tools and towards the accomplishment of particular applications. The central problems of AI include such traits as reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects.General intelligence (or "strong AI") is still among the field's long term goals. Currently popular approaches include statistical methods, computational intelligence and traditional symbolic AI. There are an enormous number of tools used in AI, including versions of search and mathematical optimization, logic, methods...
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...Artificial Intelligence and Software Engineering: Status and Future Trends Jörg Rech, Klaus-Dieter Althoff The disciplines of Artificial Intelligence and Software Engineering have many commonalities. Both deal with modeling real world objects from the real world like business processes, expert knowledge, or process models. This article gives a short overview about these disciplines and describes some current research topics against the background of common points of contact. 1 Introduction During the last decades the disciplines of Artificial Intelligence (AI) and Software Engineering (SE) have developed separately without much exchange of research results. In AI we researched techniques for the computations that made it possible to perceive, reason, and act. Research in SE was concerned with supporting human beings to develop better software faster. Today, several research directions of both disciplines come closer together and are beginning to build new research areas. Software Agents play an important role as research objects in Distributed AI (DAI) as well as in agentoriented software engineering (AOSE). Knowledge-Based Systems (KBS) are being investigated for learning software organizations (LSO) as well as knowledge engineering. Ambient Intelligence (AmI) is a new research area for distributed, non-intrusive, and intelligent software systems both from the direction of how to build these systems as well as how to design the collaboration between ambient systems. Last...
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...ARTIFICIAL INTELLIGENCE Name INF 103: Computer Literacy Instructor: Bonita Spight-Williams April 13, 2013 Artificial Intelligence What does our future hold in the area of Artificial Intelligence? “The goal of many computer scientists since the mid–20th century has been to create a computer that could perform logical operations so well that it could actually learn and become sentient or conscious. The effort to achieve this is called artificial intelligence, or AI.” (Bowles, 2010). AI is a branch of computer science that deals with developing machines that solve complex problems in a more human-like manner. This involves computers adopting characteristics of human intelligence. However, it has many associations with other fields of study such as Math, Psychology, Biology, and Philosophy. Many scientists believe that by combining these various fields of study they will ultimately succeed in creating an artificially intelligent machine. A lot of scientists believe that the key to figuring out artificial intelligence is to copy the basic function of the human brain. While it is certainly evident that a computer can acquire knowledge from a program or programmer, it is the new developments in AI that will enable it to apply the knowledge. The new advancements in AI will hopefully enable these machines to not only possess the knowledge, but also understand how to utilize it in a number of situations. Artificial Intelligence researchers analyze human...
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... Artificial Intelligence J.G.M.Jagagdeesh Kumar Department of C.S.E. (III year) Affiliated to JNTU K DJR College of Engineering and Technology, Gudavalli, Vijayawada Krishna (dt.), Andhra Pradesh, India. Contact details: J.G.M.Jagagdeesh Kumar Mobile number:9700234518 Email Id:jjagadeesh13@gmail.com Introduction In which we try to explain why we consider artificial intelligence to be a subject most worthy of study, and in which we try to decide what exactly it is, this being a good thing to decide before embarking. Humankind has given itself the scientific name homo sapiens--man the wise--because our mental capacities are so important to our everyday lives and our sense of self. The field of artificial intelligence, or AI, attempts to understand intelligent entities. Thus, one reason to study it is to learn more about ourselves. But unlike philosophy and psychology, which are also concerned with intelligence, AI strives to build intelligent entities as well as understand them. Another reason to study AI is that these constructed intelligent entities are interesting and useful in their own right. AI has produced many significant and impressive products even at this early stage in its development. Although no one can predict the future in detail, it is clear that computers with human-level intelligence (or better) would have a huge impact on our everyday lives and on the future course of civilization. AI addresses one of the ultimate puzzles...
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...AI research is highly technical and specialized and is divided into subfields. John McCarthy, who coined the term in 1955, defines it as "the science and engineering of making intelligent machines”. AI research is divided by several technical issues. Some subfields focus on the solution of specific problems. Others focus on one of several possible approaches or on the use of a particular tool or towards the accomplishment of particular applications. Artificial intelligence is used for logistics, data mining, medical diagnosis and many other areas throughout the technology industry. The success was due to several factors: the increasing computational power of computers, a greater emphasis on solving specific sub problems, the creation of new...
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