Perceptrons: an introduction to computational geometry
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--...
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| Weitere beteiligte Personen: | , |
| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge, Massachusetts
The MIT Press
[2017]
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| Ausgabe: | [2017 edition]. |
| Links: | https://doi.org/10.7551/mitpress/11301.001.0001?locatt=mode:legacy |
| Zusammenfassung: | 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." |
| Beschreibung: | "Reissue of the 1988 Expanded Edition with a new foreword by Léon Bottou." |
| Umfang: | 1 Online-Ressource (xxiii, 292 Seiten) Illustrationen |
| ISBN: | 0262343932 9780262343930 |
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| spelling | Minsky, Marvin 1927-2016 Perceptrons an introduction to computational geometry Marvin Minsky and Seymour A. Papert ; foreword by Léon Bottou [2017 edition]. Cambridge, Massachusetts The MIT Press [2017] 1 Online-Ressource (xxiii, 292 Seiten) Illustrationen txt c cr "Reissue of the 1988 Expanded Edition with a new foreword by Léon 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." Bottou, Léon Papert, Seymour |
| spellingShingle | Minsky, Marvin 1927-2016 Perceptrons an introduction to computational geometry |
| title | Perceptrons an introduction to computational geometry |
| title_auth | Perceptrons an introduction to computational geometry |
| title_exact_search | Perceptrons an introduction to computational geometry |
| title_full | Perceptrons an introduction to computational geometry Marvin Minsky and Seymour A. Papert ; foreword by Léon Bottou |
| title_fullStr | Perceptrons an introduction to computational geometry Marvin Minsky and Seymour A. Papert ; foreword by Léon Bottou |
| title_full_unstemmed | Perceptrons an introduction to computational geometry Marvin Minsky and Seymour A. Papert ; foreword by Léon Bottou |
| title_short | Perceptrons |
| title_sort | perceptrons an introduction to computational geometry |
| title_sub | an introduction to computational geometry |
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