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Perceptrons - Expanded Edition: An Introduction to Computational Geometry

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Perceptrons - Expanded Edition: An Introduction to Computational Geometry Cover

 

Synopses & Reviews

Publisher Comments:

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 ton 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."Marvin L. Minsky is Donner Professor of Science in MIT's Electrical Engineering and Computer Science Department. Seymour A. Papert is Professor of Media Technology at MIT.

Synopsis:

Perceptrons - the first systematic study of parallelism in computation - has remained a classical work on threshold automata networks for nearly two decades.

Synopsis:

Marvin L. Minsky is Donner Professor of Science in MIT's Electrical Engineering and Computer Science Department. Seymour A. Papert is Professor of Media Technology at MIT.

Product Details

ISBN:
9780262631112
Subtitle:
An Introduction to Computational Geometry
With:
Papert, Seymour A.
Author:
Minsky, Marvin L.
Author:
Minsky, Marvin
Author:
Papert, Seymour A.
Publisher:
The MIT Press
Location:
Cambridge, Mass. :
Subject:
Internet - General
Subject:
Technology
Subject:
Networking - General
Subject:
Geometry
Subject:
Parallel Processing
Subject:
Parallel processing (Electronic computers)
Subject:
Neural Networks
Subject:
Machine learning
Subject:
Perceptrons
Subject:
Data Processing - Parallel Processing
Subject:
Computer Science
Copyright:
Edition Number:
Expanded ed.
Edition Description:
expanded edition
Series:
Perceptrons
Series Volume:
Vol. 28
Publication Date:
19871228
Binding:
Paperback
Grade Level:
from 17
Language:
English
Illustrations:
Yes
Pages:
308
Dimensions:
9 x 6 in

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Related Subjects

Computers and Internet » Artificial Intelligence » Fuzzy Logic
Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computer Architecture » Parallel
Computers and Internet » Networking » General
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Perceptrons - Expanded Edition: An Introduction to Computational Geometry New Trade Paper
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Product details 308 pages MIT Press - English 9780262631112 Reviews:
"Synopsis" by , Perceptrons - the first systematic study of parallelism in computation - has remained a classical work on threshold automata networks for nearly two decades.
"Synopsis" by , Marvin L. Minsky is Donner Professor of Science in MIT's Electrical Engineering and Computer Science Department. Seymour A. Papert is Professor of Media Technology at MIT.
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