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Perceptrons

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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.

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Perceptrons, Marvin Minsky

Langue
Année de publication
2017
Reliure
(souple)
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Titre
Perceptrons
Langue
Anglais
Éditeur
MIT Press
Publié
2017
Format
souple
Pages
316
ISBN10
0262534770
ISBN13
9780262534772
Séries
Évaluation
4 sur 5
Description
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.