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Perceptrons - An Introduction to Computational Geometry (Paperback, Reissue Of The 1988 Expanded Edition With A New Fo)
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Perceptrons - An Introduction to Computational Geometry (Paperback, Reissue Of The 1988 Expanded Edition With A New Fo)
Series: The MIT Press
Expected to ship within 10 - 15 working days
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The first systematic study of parallelism in computation by two
pioneers in the field. Reissue of the 1988 Expanded Edition with a
new foreword by Leon Bottou In 1969, ten years after the discovery
of the perceptron-which showed that a machine could be taught to
perform certain tasks using examples-Marvin Minsky and Seymour
Papert published Perceptrons, their analysis of the computational
capabilities of perceptrons for specific tasks. As Leon Bottou
writes in his foreword to this edition, "Their rigorous work and
brilliant technique does not make the perceptron look very good."
Perhaps as a result, research turned away from the perceptron. Then
the pendulum swung back, and machine learning became the
fastest-growing field in computer science. Minsky and Papert's
insistence on its theoretical foundations is newly relevant.
Perceptrons-the first systematic study of parallelism in
computation-marked a historic turn in artificial intelligence,
returning to the idea that intelligence might emerge from the
activity of networks of neuron-like entities. Minsky and Papert
provided mathematical analysis that showed the limitations of a
class of computing machines that could be considered as models of
the brain. Minsky and Papert added a new chapter in 1987 in which
they discuss the state of parallel computers, and note a central
theoretical challenge: reaching a deeper understanding of how
"objects" or "agents" with individuality can emerge in a network.
Progress in this area would link connectionism with what the
authors have called "society theories of mind."
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