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Programming and Problem Solving with Java: Chapter 14
Programming and Problem Solving with Java: Chapter 14

... You were supposed to write a paper for today? At your tables spend five minutes talking about what you wrote. Identify some “common ground” in your responses. Identify an idea that someone else wrote about that you wished you had said. ...
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... Modeling how ideal agents “should act” – rational actions but not necessarily formal rational reasoning – i.e., more of a black-box/engineering approach ...
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... If you’re interested in submitting an article for publication, see our author guidelines at www.computer.org/ intelligent/author.htm. ...
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... GDSS(group decision support systems), CE (concurrent engineering), organizational sciences, social psychology, business process management,anthropology and so on. There is also increasing recognition of the need for collaboration support technology in many settings, as evidenced for example by the l ...
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... Q.4 "Surely computers cannot be intelligent – they can do only what their programmers tell them." Is the second statement true, and does it imply the first? (2.5 marks) Programmers can give programs the ability to learn using learning rules. The programmer does not tell the computer exactly what to ...
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Multimedia and Artificial Intelligence

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Philosophy and History of AI

... introduced the Laws of Robotics – if you haven’t read it, you should!) • John von Neumann: minimax (1928), computer architecture (1945) • Alan Turing: universal machine (1937), Turing test (1950) • Norbert Wiener founded the field of cybernetics (1940s) • Marvin Minsky: neural nets (1951), AI founde ...
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Basic Marketing, 16e - McGraw Hill Higher Education

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... human thinking, just as we use motors to augment human or horse power. Robotics and expert systems are major branches of that. The other is to use a computer's artificial intelligence to understand how humans think. In a humanoid way. If you test your programs not merely by what they can accomplish, ...
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Application of Artificial Intelligence to Chess Playing

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Artificial Intelligence Programming

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an assignment - UBC Computer Science

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an assignment - UBC Computer Science

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22. Artificial Intelligence

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Computational Intelligence Applications in Business:

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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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