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Artificial Intelligence at Imperial
Artificial Intelligence at Imperial

... • Some of us see AI more as artefact generation – Producing pieces of music/theorems/poems, etc. ...
PPT - Brown Computer Science
PPT - Brown Computer Science

... who does not understand Chinese. This person is given a manual on how to respond to all possible sequences of Chinese symbols. To the outside world, the person in the room seems to understand Chinese, but does not. The same should be said about computers. ...
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... every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate.” (From Dartmouth conference.) ...
Emerging Technologies--Present, Future Visions
Emerging Technologies--Present, Future Visions

... “Artificial intelligence is also described as a subdiscipline of computer science that uses combinations of hardware and software to simulate the functions of the human mind (Orwig and Baumbach, 19911992).” home ...
Extinguished philosophies lie about the cradle of every science as the
Extinguished philosophies lie about the cradle of every science as the

... Q. Is intelligence a single thing so that one can ask a yes or no question “Is this machine intelligent or not?”? A. No. Intelligence involves mechanisms, and AI research has discovered how to make computers carry out some of them and not others. If doing a task requires only mechanisms that are wel ...
Laboratory Exercise #1
Laboratory Exercise #1

... human being, then it is as intelligent as a human being. The Dartmouth proposal: "Every aspect of learning or any other feature of intelligence can be so precisely described that a machine can be made to simulate it." Newell and Simon's physical symbol system hypothesis: "A physical symbol system ha ...
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Artificial Intelligence

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Situation Calculus - Department of Computer Science
Situation Calculus - Department of Computer Science

... Artificial Intelligence is the science of making machines do things that would require intelligence if done by man. (Prof. Marvin Minsky) AI is the study of how to make computers do things which at the moment people do better. ...
Slides - Georgetown University
Slides - Georgetown University

... “The study is to proceed on the basis of the conjecture that every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it.” ...
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Artificial Intelligence - Academic year 2016/2017

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Artificial Intelligence, Neural Nets and Applications

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Quest for Artificial Intelligence

... The history of the development of logic goes right back to Euclid. George Boole published ‘An investigation into the Laws of Thought on which he founded the Mathematical Theories of Logic and Probabilities’ in 1847. There is no record of any cooperation with Babbage or Linda Lovelace. Charles Pierce ...
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Power Point

... To build systems that exhibit intelligent behavior To understand intelligence in order to model it ...
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... Knowing the precise theory of mind ( how human think?)  expressing the theory as a computer program. GPS (General Problem Solver) [ by Newell & Simon, 1961] Were concerned with comparing the trace of its reasoning steps to traces of human subjects solving the same problem rather that correctly solv ...
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foundations - Computer Science Department

... • "in about fifty years' time [by the year 2000] it will be possible to program computers ... to make them play the imitation game so well that an average interrogator will have no more than 70 per cent. chance of making the correct identification after five minutes of questioning." (Turing 1950, p. ...
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Artificial Intelligence Toolbox Part 1: How to find solutions Myra Wilson e-mail

... AI is often burdened with over-promising and grandiosity The gap between AI engineering and AI as a model of intelligence is so large that trying to bridge it almost inevitably leads to assertions that later prove embarrasing. McCarthy said AI was “the science and engineering of making intelligent m ...
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Introduction: Chapter 1 - Information Technology and Computer

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introduction to artificial intelligence - clic

... devices for automatic reasoning (Lull’s disks) • Leibniz (17th Century): Encoding for syllogisms • Boole (19th Century): Boolean Algebra • Frege (1879): Predicate calculus ...
What is AI? - BYU Computer Science Students Homepage Index
What is AI? - BYU Computer Science Students Homepage Index

... Predictions and Reality … (1/3) In the 60’s, a famous AI professor from MIT said: “At the end of the summer, we will have developed an electronic eye” As of 2002, there is still no general computer vision system capable of understanding complex dynamic scenes But computer systems routinely perform ...
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Intelligent Systems

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ppt - DePaul University
ppt - DePaul University

... using a boat which can carry at most two people, under the constraint that, for both banks, if there are missionaries present on the bank, they cannot be outnumbered by cannibals (if they were, the cannibals would eat the missionaries.) The boat cannot cross the river by itself with no people on boa ...
Powerpoint
Powerpoint

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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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