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Connectionist symbol processing

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"A Bradford book.""Reprinted from Artificial intelligence, an international journal, volume 46, numbers 1-2, 1990"--Title page verso.The six contributions in Connectionist Symbol Processing address the current tension within the artificial intelligence community between advocates of powerful symbolic representations that lack efficient learning procedures and advocates of relatively simple learning procedures that lack the ability to represent complex structures effectively. The authors seek to extend the representational power of connectionist networks without abandoning the automatic learning that makes these networks interesting.Aware of the huge gap that needs to be bridged, the authors intend their contributions to be viewed as exploratory steps in the direction of greater representational power for neural networks. If successful, this research could make it possible to combine robust general purpose learning procedures and inherent representations of artificial intelligence -- a synthesis that could lead to new insights into both representation and learning.OCLC-licensed vendor bibliographic record.

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Detail Information

Series Title

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Call Number

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Publisher

Cambridge, Mass. : : MIT Press Direct., 1991

Collation

1 online resource (262 pages) :illustrations.

Language

English

ISBN/ISSN

9780262256360

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

NEURAL NETWORKS (COMPUTER SCIENCE)
Connection machines.

Specific Detail Info

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Statement of Responsibility

Geoffrey Hinton

Other Information

Cataloger

imron

Source

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Validator

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Digital Object Identifier (DOI)

https://doi.org/10.7551/mitpress/2102.001.0001

Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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