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The Turing Test
The Turing Test

... • But Turkle (1997) clearly assigns intelligence to machines “our general tendency to treat responsive computers as more intelligent …” • Hanard (1992): the Turing Test “sets AI’s empirical goal” – it is not a mindless parlour game. ...
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... intelligently it may make it behave. The argument is directed against the philosophical positions of functionalism and computationalism,[2] which hold that the mind may be viewed as an information processing system operating on formal symbols. Although it was originally presented in reaction to the ...
Knowledge management systems - Oman College of Management
Knowledge management systems - Oman College of Management

... Web content management • Web content management focuses on building an effective website framework through which users may access the KMS. ...
Turing++ Questions: A Test for the Science of (Human) Intelligence
Turing++ Questions: A Test for the Science of (Human) Intelligence

... Physiology as a Guide To constrain our search for intelligent algorithms, we are focusing on creating computational models that match human behavior and neural physiology. There are several reasons why we are taking this approach. The first reason, as hinted above, is to avoid superficial solutions ...
Six digital technologies to watch
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... Deep Knowledge Ventures, has even appointed an algorithm to its board of directors!7 Rapid advances in AI have also resulted in concerns about machine intelligence overtaking human intelligence, and becoming a threat to the future of humanity itself. An example is Nick Bostrom’s 2014 book on superin ...
Einführung in die Künstliche Intelligenz
Einführung in die Künstliche Intelligenz

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Evolutionary Robotics
Evolutionary Robotics

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Artificial Intelligence – an Overview
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Towards the Evolution of Things
Towards the Evolution of Things

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Text Benno Premsela Lecture by Benjamin Bratton November 2015
Text Benno Premsela Lecture by Benjamin Bratton November 2015

... inhuman. As Artificial Intelligence becomes more sophisticated what will be its urban design project? What should it be? That is, I mean AI both as something that we see around us all the time and in terms of forms of synthetic reason that we are in the process of designing and designating, and whic ...
Artificial Intelligence - Instructional Technology Portfolio
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Intelligence - Ohio University
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Machine Intelligence

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intelligent - Institute for the Study of Learning and Expertise
intelligent - Institute for the Study of Learning and Expertise

... What is Artificial Intelligence? Artificial intelligence is the computational study of structures and processes that support intelligent behavior. The name reflects the fact that most work in the area involves the creation of computational artifacts.  Early researchers hoped to create systems with ...
Quality – An Inherent Aspect of Agile Software Development
Quality – An Inherent Aspect of Agile Software Development

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intelligent - Institute for the Study of Learning and Expertise
intelligent - Institute for the Study of Learning and Expertise

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What is AI? - UB Computer Science and Engineering
What is AI? - UB Computer Science and Engineering

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History of Artificial Intelligence
History of Artificial Intelligence

... History of Artificial Intelligence Compiled by Dana Nejedlová in October 2003 When we look to the past, we can see that people have always been striving to ease their living by making machines that should perform tasks demanding strength, rapidity, or dull repetition. In the beginning it involved on ...
Professor Zadeh Presentation October 2010
Professor Zadeh Presentation October 2010

... made the case that we will have both the hardware and the software to achieve human level artificial intelligence with the broad suppleness of human intelligence including our emotional intelligence by 2029.” (Kurzweil 2008) ...
MIQ Understanding a Machine through Multiple Perspectives Analysis
MIQ Understanding a Machine through Multiple Perspectives Analysis

... To allow for machine intelligence, [12] assumed instead that L = H + U and α + β +ϒ < 1 where H is human labor and U is machine intelligence labor, enough to replace human capital. [12] model implicated machine intelligence for it speculated that few computers would be bought if price were high. If ...
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Technological singularity

The technological singularity is a hypothetical event related to the advent of artificial general intelligence (also known as ""strong AI""). Such a computer, computer network, or robot would theoretically be capable of recursive self-improvement (redesigning itself), or of designing and building computers or robots better than itself. Repetitions of this cycle would likely result in a runaway effect – an intelligence explosion – where smart machines design successive generations of increasingly powerful machines, creating intelligence far exceeding human intellectual capacity and control. Because the capabilities of such a superintelligence may be impossible for a human to comprehend, the technological singularity is the point beyond which events may become unpredictable or even unfathomable to human intelligence.The first use of the term ""singularity"" in this context was made in 1958 by the Hungarian born mathematician and physicist John von Neumann. In 1958, regarding a summary of a conversation with von Neumann, Stanislaw Ulam described ""ever accelerating progress of technology and changes in the mode of human life, which gives the appearance of approaching some essential singularity in the history of the race beyond which human affairs, as we know them, could not continue"". The term was popularized by mathematician, computer scientist and science fiction author Vernor Vinge, who argues that artificial intelligence, human biological enhancement, or brain–computer interfaces could be possible causes of the singularity. Futurist Ray Kurzweil cited von Neumann's use of the term in a foreword to von Neumann's classic The Computer and the Brain.Kurzweil predicts the singularity to occur around 2045 whereas Vinge predicts some time before 2030. At the 2012 Singularity Summit, Stuart Armstrong did a study of artificial general intelligence (AGI) predictions by experts and found a wide range of predicted dates, with a median value of 2040. Discussing the level of uncertainty in AGI estimates, Armstrong said in 2012, ""It's not fully formalized, but my current 80% estimate is something like five to 100 years.""
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