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The Next Step: Exponential Life 1 — PB
The Next Step: Exponential Life 1 — PB

... where should we be? Even if we could keep the machines in a subservient position, for instance by turning off the power at strategic moments, we should, as a species, feel greatly humbled. ... [T]his new danger … is certainly something which can give us anxiety. I. J. Good (1965), who had worked wit ...
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... systems are composed only of non-living atoms there seems to be limits in the current levels of understanding within these disciplines in what is necessary to bridge the gap between non-living and living matter. esearchers in artificial intelligence (AI) and artificial life (Alife) are interested in ...
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Cybercitizens of the World Unite! - Australian Children`s Television
Cybercitizens of the World Unite! - Australian Children`s Television

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Evolving Artificial Neural Networks Applied to Generate Virtual
Evolving Artificial Neural Networks Applied to Generate Virtual

... be stuck. Many games still make use of simple state machines to simulate AI. New models can be designed and proposed to replace this jurassic technique. In this paper we propose the use of Artificial Neural Networks (ANN) as a new model. ANN will be then in charge of receiving information from the g ...
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Haider - Computer Science - Illinois Institute of Technology

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CSC 480: Artificial Intelligence

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“What if...?” -toward a society that can achieve anything you imagine!

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Artificial Consciousness: Hazardous Questions (and

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IOSR Journal of Computer Engineering (IOSR-JCE)

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Cognitive Science: The Newest Science of the Artificial

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How Much AI Does a Cognitive Science Major Need to Know?

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Artificial intelligence Problem List some human abilities, which

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Intelligence Augmentation Pattie Maes MIT Media Lab

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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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