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Knowledge Base
Knowledge Base

... AI did not scale up: combinatorial explosion The fact that a program can find a solution in principle does not mean that the program contains any of the mechanisms needed to find it in practice. Failure of natural language translation approach based on simple grammars and word dictionary. The famous ...
Fifty Years of AI: From Symbols to Embodiment
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On behalf of the Organizing Committee, we are pleased to invite you
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On behalf of the Organizing Committee, we are pleased to invite you
On behalf of the Organizing Committee, we are pleased to invite you

... Chisinau, Republic of Moldova. The first edition of this conference was held in Chisinau, on September 13-14, 2011 (http://www.math.md/iis2011/ The conference is organized by the Institute of Mathematics and Computer Science of the Academy of Sciences of Moldova in co-operation with the Institute of ...
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... You are David Marr, and you have just read the K-lines paper. A close collegue and like minded thinker, Tomasso Poggio, has heard about the K-lines paper, but not read it. Compose an email message, of the sort you think Marr would have written, describing the paper and assessing its contribution. Yo ...
comp4620/8620: Advanced Topics in AI Foundations of Artificial
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... The traditional ways of designing intelligent systems, like rule-based systems, never achieved the results that were expected at the time people started to realize that computers could be used for more than just calculating numbers. So far, it has not been possible to construct a set of rules that i ...
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PDF - The Institute for Christian Teaching
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EAAI-13 Preface
EAAI-13 Preface

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Usable Intelligent Interactive Systems

... and computers should interact” observes Winograd in Shifting Viewpoints [10]. It is time to narrow this gap. What was once considered the forefront of artificial intelligence (AI) research can now be found in commercial products. While some have failed, others, such as face detection in digital came ...
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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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