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The emerging global brain

World Futures 50 (1):793-810 (1997)

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  1. (2 other versions)The future of man.Pierre Teilhard de Chardin - 1969 - New York,: Image Books/Doubleday.
    The Future of Man is a magnificent introduction to the thoughts and writings of Pierre Teilhard de Chardin, one of the few figures in the history of the Catholic Church to achieve renown as both a scientist and a theologian. Trained as a paleontologist and ordained as a Jesuit priest, Teilhard de Chardin devoted himself to establishing the intimate, interdependent connection between science—particularly the theory of evolution—and the basic tenets of the Christian faith. At the center of his philosophy was (...)
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  • Man's Place in Nature.P. Teilhard De Chardin - 1966
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  • Information and Meaning: An Evolutionary Perspective.Tom Stonier - 1997 - Springer.
    Tom Stonier writes from the perspective of a theoretical biologist looking at the evolution of information systems as a basis for studying the phenomena of information, intelligence and meaning. Through his exploration of the 'meaning of meaning', and by looking at how neurons create a brain which understands information inputs and then operates on the information received, he is able to propose a theory of how the brain works and to explore how this theory may be used in the development (...)
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  • Machine intelligence and the long-term future of the human species.Tom Stonier - 1988 - AI and Society 2 (2):133-139.
    Intelligence is not a property unique to the human brain; rather it represents a spectrum of phenomena. An understanding of the evolution of intelligence makes it clear that the evolution of machine intelligence has no theoretical limits — unlike the evolution of the human brain. Machine intelligence will outpace human intelligence and very likely will do so during the lifetime of our children. The mix of advanced machine intelligence with human individual and communal intelligence will create an evolutionary discontinuity as (...)
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  • Why computers are never likely to be smarter than people.Dr Peter J. Marcer - 1989 - AI and Society 3 (2):142-145.
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