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- 316pages
- 12 heures de lecture
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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
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- (souple)
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- Titre
- Perceptrons
- Langue
- Anglais
- Auteurs
- Marvin Minsky
- Éditeur
- MIT Press
- Publié
- 2017
- Format
- souple
- Pages
- 316
- ISBN10
- 0262534770
- ISBN13
- 9780262534772
- Séries
- Mots clés
- Nonfiction, Technologie & Ingénierie, Science et Mathématiques, Informatique & Internet, Science, Mathématiques, Intelligence Artificielle
- 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.