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Lecture 1 - Matteo Matteucci
Lecture 1 - Matteo Matteucci

... • Why intelligence has to be symbolic? • Why should we consider as intelligence only human behavior? • What’s the difference between simulate and imitate/emulate? • Is “faster than human” something related to Artificial Intelligence? • How can we create “thinking” machines if we do not know what thi ...
Computer Fifth Generation
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... Artificial Intelligence the word coined by John McCarthy three decade ago now becomes a revolutionary word in the field of computer science and information technology. What actually we mean by AI? According to M.L. Minsky, "Artificial intelligence is the science of making machines do things that wou ...
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Computational Discovery of Communicable Knowledge

... Recent years have seen far less research in this tradition, with AI becoming a set of narrow, specialized subfields. Re-establishing contact with ideas from psychology, including work on cognitive architectures, can remedy this situation. ...
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analytical machine

... In 1642, a calculating machine was used in France. Then in 1822, the Analytical Machine was made by Charles Babbage. It could follow instructions from cards with holes. In 1963, Alan Turing, the real father of computers, wrote a book about how the computers could be made to work as a “universal mac ...
Edward Feigenbaum - IEEE Computer Society
Edward Feigenbaum - IEEE Computer Society

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AGRICULTURE ADVANCEMENT USING ARTIFICIAL INTELLIGENCE
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Minds & Machines Program
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... together students and faculty with interests in cognitive science and technology. • Cognitive Science: The science of all aspects (reasoning, perception, decisionmaking, etc) of any mind (human, animal, machine) through philosophy, psychology, computer science, neuroscience, linguistics, and other d ...
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KM Tools
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... A quick note on artificial intelligence: While there was much excitement about this a few years ago, to my understanding, it has not lived up to its expectations (yet). Expert systems for example, designed to capture human decision-making and to make the correct decisions in certain circumstances, h ...
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The brains behind artificial intelligence

... Separating the specific signature of a nuclear blast in this way requires a higher form of computing, one that combines the reasoning behavior of the human mind with the data processing power of a supercomputer ? essentially an artificial intelligence (AI). This initiative to monitor the planet's se ...
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A PhD RESEARCH TOPIC PROPOSAL PRESENTED BY NWEKE

... under time-constraints in such environments must select carefully which information will be processed and which will be ignored. Even in the (rare) cases where sufficient resources may be available, attention could help make better use of them. All real-world tasks come with time limits, and managin ...
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Lecture 02 Artificial Intelligence

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... manage “last in-first out” like a stack. This approach is the same used in backtracking: the nodes remain at lesser depths, still on the stack to be explored if the search reaches a dead end. Such a clear explanation allows the student to see the underlying simplicity behind the complexities of AI s ...
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... shaping a research program for a new discipline called Artificial Intelligence in Medicine (AIM). These researchers had a bold vision of the way AIM would revolutionise medicine, and push forward the frontiers of technology. Artificial intelligence is still in the very early stages of development–in ...
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Consensus in Fuzzy Decision Making: Models and

... with the Department of Computer Science and Artificial Intelligence, University of Granada, and also the new Vice-President for Research. Around 27 of his papers are classed as highly cited in the Thomson Reuters database as well as being in the top 1% of the most cited papers in its field (Computer ...
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Report on the Nineteenth International FLAIRS Conference

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Further Cognitive Science
Further Cognitive Science

... So we can characterise the world by ‘detachment from it’ and then enumerating all such beliefs; So completing the reductionist, atomistic philosophical task began by Socrates… ...
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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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