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AAAI-16 Exhibitor Information
AAAI-16 Exhibitor Information

... AAAI-16 Exhibitor Information On behalf of AAAI, we invite you to exhibit at the Thirtieth AAAI Conference on Artificial Intelligence to be held February 12 – 17, 2016 in Phoenix, Arizona, USA. Each year the AAAI conference brings together about 1,200 AI researchers and practitioners from around the ...
Lecture 45 - KDD - Kansas State University
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... – Idea: cast problem of choosing relevant attributes (given “top-level” learning problem specification) as search – Effective state space search (A/A*-based) approach demonstrated ...
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Chapter 1: Introduction to Expert Systems

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Chapter 1: Introduction to Expert Systems
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One Decade of Universal Artificial Intelligence
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An Introduction to Expert System and Artificial Intelligence

... ABSTRACT: Right and accurate definition of Artificial Intelligence is tough enough, as it is deals with many aspectintelligence, knowledge, reasoning, thought, cognition, learning and a number of computer related term. In simplify manner we can say that when a machine understand or act as a man, tha ...
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... of the sample of authors at two leading technical machine learning conferences (the 2015 NIPS and ICML) believed there was at least a 10% chance of it being developed by 2031 (Grace et al., no date). In view of how much could be at stake, even a modest chance of advanced general AI being developed i ...
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... • Tools range from high-level programming languages such as LISP, PROLOG, OPS, C and Java, to expert system shells. • High-level programming languages offer a greater flexibility, but they require high-level programming skills. • Shells provide us with the built-in inference engine, explanation faci ...
Consciousness and Creativity in Brain
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... explore social life on earth and everything it relates to. FuturICT flagship proposal will produce historic breakthroughs and provide powerful new ways to manage challenges that make the modern world so difficult to predict, including the financial crisis. ...
intelligent information systems, quo vadis?
intelligent information systems, quo vadis?

... increasing evidence of IIS. We have appraised some of these resources to look for similarities and differences in the classification of IIS. It is interesting to note that each of these instances of IIS have some variations in this taxonomy. As we will see in the examples that follow, the technology ...
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PowerPoint - Sergio Pissanetzky

... ● it requires no domain-specific knowledge ● it is not man-made ● it is ready for use in computers ...
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History of artificial intelligence

The history of artificial intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen; as Pamela McCorduck writes, AI began with ""an ancient wish to forge the gods.""The seeds of modern AI were planted by classical philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols. This work culminated in the invention of the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning. This device and the ideas behind it inspired a handful of scientists to begin seriously discussing the possibility of building an electronic brain.The field of AI research was founded at a conference on the campus of Dartmouth College in the summer of 1956. Those who attended would become the leaders of AI research for decades. Many of them predicted that a machine as intelligent as a human being would exist in no more than a generation and they were given millions of dollars to make this vision come true. Eventually it became obvious that they had grossly underestimated the difficulty of the project. In 1973, in response to the criticism of James Lighthill and ongoing pressure from congress, the U.S. and British Governments stopped funding undirected research into artificial intelligence. Seven years later, a visionary initiative by the Japanese Government inspired governments and industry to provide AI with billions of dollars, but by the late 80s the investors became disillusioned and withdrew funding again. This cycle of boom and bust, of ""AI winters"" and summers, continues to haunt the field. Undaunted, there are those who make extraordinary predictions even now.Progress in AI has continued, despite the rise and fall of its reputation in the eyes of government bureaucrats and venture capitalists. Problems that had begun to seem impossible in 1970 have been solved and the solutions are now used in successful commercial products. However, no machine has been built with a human level of intelligence, contrary to the optimistic predictions of the first generation of AI researchers. ""We can only see a short distance ahead,"" admitted Alan Turing, in a famous 1950 paper that catalyzed the modern search for machines that think. ""But,"" he added, ""we can see much that must be done.""
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