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Perceptrons :an introduction to computational geometry

Minsky, Marvin, - Personal Name; Papert, Seymour, - Personal Name; Bottou, L?eon, - Personal Name;

"Reissue of the 1988 Expanded Edition with a new foreword by L?eon Bottou."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 BottouIn 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."OCLC-licensed vendor bibliographic record.


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Detail Information
Series Title
-
Call Number
-
Publisher
: The MIT Press., 2017
Collation
1 online resource (xxiii, 292 pages) :illustrations
Language
English
ISBN/ISSN
9780262343930
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
[2017 edition].
Subject(s)
Geometry
NEURAL NETWORKS (COMPUTER SCIENCE)
Parallel processing (Electronic computers)
Perceptrons.
Specific Detail Info
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Statement of Responsibility
Marvin Minsky and Seymour A. Papert ; foreword by L?eon Bottou.
Other Information
Cataloger
bonie
Source
-
Validator
-
Digital Object Identifier (DOI)
https://direct.mit.edu/books/monograph/3132/PerceptronsAn-Introduction-to-Computational
Journal Volume
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Journal Issue
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Subtitle
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Parallel Title
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No other version available

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  • Perceptrons: An Introduction to Computational Geometry
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