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Embodied artificial intelligence
Embodied artificial intelligence

... implicit dualism, of relying on some kind of ghost in the machine. The computationalist insight was that a machine could be a semantic engine by virtue of being a syntactic engine, and thus without violating any principles of naturalism. The point of modifying “symbol manipulation” with “formal” was ...
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... well the setting of the Angry Birds game and its AI Competition: first, Angry Birds can be seen as a game in between a real-time game and a turn-based one, allowing a fairly large time window for deciding the next shot4 ; and second, the size of the search space of the tactic layer is linearly propo ...
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... Fuzzy Logic  Fuzzy logic deals with the uncertainties by simulating the process of human reasoning, allowing the computer to behave less precisely and logically than conventional computers do. Involves decision in gray areas. Uses creative decision-making processes. ...
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... Chapter Preview In this chapter, we will study:  What is meant by artificial intelligence  How expert systems are developed and how they perform  How AI has been applied to other arenas, such as natural language processing and neural computing  The concept and usefulness of intelligent agents ...
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Artificial Intelligence and Economic Theory

... and y, is minimized. The adapted parameter set or estimated coefficients can then be used to make predictions. Hence, to an econometrician ANNs are a useful new technique to cope with the problem of misspecification. There are, however, some conceptual problems with the ANN learning method sketched ...
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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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