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Here`s a short piece on AI consciousness for the
Here`s a short piece on AI consciousness for the

... in a particular form of AI: AGI, or artificial general intelligence. AGI doesn’t exist yet, but we now have domain specific intelligences like AlphaGo and Watson, the world Go and Jeopardy! champions, respectively. These systems outperform humans in specific domains, and they are impressive. But ...
Learning to Evaluate Conditional Partial Plans
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... been spent on it without any new interesting insights. A step in this direction is to learn how to detect “bad” plans early, so that Deductor does not waste time deliberating about them. In our experimental domains we have defined bad plans to be those which can kill the agent (for Wumpus), and thos ...
Artificial Life and the Animat Approach to Artificial Intelligence
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... can contribute to theoretical biology by locating life-as-we-know-it within the larger picture of lifeas-it-could-be " (Langton, 1989) . In other words, AL views life as a property of the organization of matter, rather than a property of the matter which is so organized. In still other words, wherea ...
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Turing TEST! - WordPress.com
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Logic Programming for Knowledge Representation
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symbolic logic and logic processing

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Crowdsourcing, Open Innovation and Collective
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... every individual "has some advantage over all others because he possesses unique information of which beneficial use might be made" (von Hayek 1945). Although certain universities have been trending towards a more entrepreneurial model for more than two decades, (Etzkowitz 1983, Etzkowitz et al. 200 ...
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November 2008_Introduction - School of Computer Science and

... Web mainly concentrated on the interchange of documents. It is also about language for recording how the data relates to real world objects. That allows a person, or a machine, to start off in one database, and then move through an unending set of databases which are connected not by wires but by be ...
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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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