Epub⋙: Perceptrons: An Introduction to Computational Geometry, Expanded Edition by Marvin Minsky, Seymour A. Papert
Perceptrons: An Introduction to Computational Geometry, Expanded Edition by Marvin Minsky, Seymour A. Papert
Perceptrons: An Introduction to Computational Geometry, Expanded Edition by Marvin Minsky, Seymour A. Papert PDF, ePub eBook D0wnl0ad
Perceptrons -- the first systematic study of
parallelism in computation -- has remained a classical work on threshold automata
networks for nearly two decades. It marked a historical turn in artificial
intelligence, and it is required reading for anyone who wants to understand the
connectionist counterrevolution that is going on
today.
Artificial-intelligence research, which for a time
concentrated on the programming of Von Neumann computers, is swinging back to the
idea that intelligence might emerge from the activity of networks of neuronlike
entities. Minsky and Papert's book was the first example of a mathematical analysis
carried far enough to show the exact limitations of a class of computing machines
that could seriously be considered as models of the brain. Now the new developments
in mathematical tools, the recent interest of physicists in the theory of disordered
matter, the new insights into and psychological models of how the brain works, and
the evolution of fast computers that can simulate networks of automata have given
Perceptrons new importance.
Witnessing the
swing of the intellectual pendulum, Minsky and Papert have added a new chapter in
which they discuss the current state of parallel computers, review developments
since the appearance of the 1972 edition, and identify new research directions
related to connectionism. They note a central theoretical challenge facing
connectionism: the challenge to reach 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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