Perceptrons, Reissue of the 1988 Expanded Edition with a New Foreword by léon Bottou : An Introduction to Computational Geometry by Seymour A. Papert and Marvin Minsky (2017, Trade Paperback)

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About this product

Product Identifiers

PublisherMIT Press

ISBN-100262534770

ISBN-139780262534772

eBay Product ID (ePID)239693956

Product Key Features

Number of Pages316 Pages

Publication NamePerceptrons, Reissue of the 1988 Expanded Edition with a New Foreword by léon Bottou : An Introduction to Computational Geometry

LanguageEnglish

SubjectGeometry / General, Computer Science, Neural Networks, Computer Vision & Pattern Recognition

Publication Year2017

TypeTextbook

AuthorSeymour A. Papert, Marvin Minsky

Subject AreaMathematics, Computers

FormatTrade Paperback

Dimensions

Item Height0.7 in

Item Weight13 Oz

Item Length9 in

Item Width6.1 in

Additional Product Features

Intended AudienceTrade

LCCN2017-014248

Dewey Edition23

IllustratedYes

Dewey Decimal006.3

Edition DescriptionEnlarged edition

SynopsisThe first systematic study of parallelism in computation by two pioneers in the field. Reissue of the 1988 Expanded Edition with a new foreword by L on 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 L on 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.", 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."

LC Classification NumberQ327.M55 2017