A Missing link in cybernetics : logic and continuity

The relative failure of attempts to analyze and model intelligence can be attributed in part to the customary assumption that the processing of continuous variables and the manipulation of discrete concepts should be treated separately. In this book, the author considers concept-based thought as hav...

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Detaylı Bibliyografya
Yazar: Andrew, Alex M.
Materyal Türü: Livre numérique
Dil:Anglais
Baskı/Yayın Bilgisi: New York, NY : Springer New York [20..].
Cham : Springer Nature
Edisyon:1st ed. 2009.
Seri Bilgileri:IFSR International Series in Systems Science and Systems Engineering 26
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Not: Description d'après consultation du 08 juillet 2011
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• A Missing Link in Cybernetics, Texte imprimé, 9781441925848
• A Missing Link in Cybernetics, Texte imprimé, 9780387567129
• A Missing Link in Cybernetics, Texte imprimé, 9780387751634
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245 1 0 |a A Missing link in cybernetics :  |b logic and continuity   |c by Alex M. Andrew. 
250 |a 1st ed. 2009. 
260 |a New York, NY :  |b Springer New York. 
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505 1 |a Cybernetics: Origins and Aims Where to Start? Continuous versus Discrete Adaptation, Self-Organisation, Learning Backpropagation Self-Reference Fractal Intelligence Conclusions. 
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506 |a Accès soumis à abonnement pour tout autre établissement 
506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |a The relative failure of attempts to analyze and model intelligence can be attributed in part to the customary assumption that the processing of continuous variables and the manipulation of discrete concepts should be treated separately. In this book, the author considers concept-based thought as having evolved from processing of continuous variables. Although "fuzzy" theory acknowledges the need to combine conceptual and continuous processing, its assumption of the primacy of concept-based processing makes it evolutionarily implausible. The text begins by reviewing the origins and aims of cybernetics with particular reference to Warren McCulloch s declared lifetime quest of "understanding man s understanding". It is shown that continuous systems can undergo complex self-organization, but a need for classification of situations becomes apparent and can be seen as the evolutionary beginning of concept-based processing. Possibilities for complex self-organization are emphasized by discussion of a general principle that has been termed significance feedback, of which backpropagation of errors in neural nets is a special case. It is also noted that continuous measures come to be associated with processing that is essentially concept-based, as acknowledged in Marvin Minsky s reference to heuristic connection between problems, and the associated basic learning heuristic of Minsky and Selfridge. This reappearance of continuity, along with observations on the multi-layer structure of intelligent systems, supports a potentially valuable view of intelligence as having a fractal nature. This is such that structures at a complex level, interpreted in terms of these emergent measures, reflect others at a simpler level. Implications for neuroscience and Artificial Intelligence are also examined. The book presents unconventional and challenging viewpoints that will be of interest to researchers in AI, psychology, cybernetics and systems science, and should help promote further research. 
650 |a Intelligence artificielle 
650 |a Logique symbolique et mathématique 
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