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Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence: 6th International Work-Conference on Artificial and Natural Neural ... I: 2084 (Lecture Notes in Computer Science) - Tapa blanda
Sinopsis
Underlying most of the IWANN calls for papers is the aim to reassume some of the motivations of the groundwork stages of biocybernetics and the later bionics formulations and to try to reconsider the present value of two basic questions. The?rstoneis:"Whatdoesneurosciencebringintocomputation(thenew bionics)?" That is to say, how can we seek inspiration in biology? Titles such as "computational intelligence", "arti?cial neural nets", "genetic algorithms", "evolutionary hardware", "evolutive architectures", "embryonics", "sensory n- romorphic systems", and "emotional robotics" are representatives of the present interest in "biological electronics" (bionics). Thesecondquestionis:"Whatcanreturncomputationtoneuroscience(the new neurocybernetics)?" That is to say, how can mathematics, electronics, c- puter science, and arti?cial intelligence help the neurobiologists to improve their experimental data modeling and to move a step forward towards the understa- ing of the nervous system? Relevant here are the general philosophy of the IWANN conferences, the sustained interdisciplinary approach, and the global strategy, again and again to bring together physiologists and computer experts to consider the common and pertinent questions and the shared methods to answer these questions.
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Reseña del editor
Underlying most of the IWANN calls for papers is the aim to reassume some of the motivations of the groundwork stages of biocybernetics and the later bionics formulations and to try to reconsider the present value of two basic questions. The?rstoneis:“Whatdoesneurosciencebringintocomputation(thenew bionics)?” That is to say, how can we seek inspiration in biology? Titles such as “computational intelligence”, “arti?cial neural nets”, “genetic algorithms”, “evolutionary hardware”, “evolutive architectures”, “embryonics”, “sensory n- romorphic systems”, and “emotional robotics” are representatives of the present interest in “biological electronics” (bionics). Thesecondquestionis:“Whatcanreturncomputationtoneuroscience(the new neurocybernetics)?” That is to say, how can mathematics, electronics, c- puter science, and arti?cial intelligence help the neurobiologists to improve their experimental data modeling and to move a step forward towards the understa- ing of the nervous system? Relevant here are the general philosophy of the IWANN conferences, the sustained interdisciplinary approach, and the global strategy, again and again to bring together physiologists and computer experts to consider the common and pertinent questions and the shared methods to answer these questions.
Reseña del editor
This book constitutes, together with its companion, LNCS 2085, the refereed proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, held in Granada, Spain, in June 2001. The 200 revised papers presented were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in sections on foundations of connectionism, biophysical models of neurons, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, artificial intelligence and congnitive processes, methodology for nets design, nets simulation and implementation, bio-inspired systems and engineering, and other applications in a variety of fields.
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Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence
Publicado por
Springer Berlin Heidelberg, 2001
ISBN 10: 3540422358
ISBN 13: 9783540422358
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Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Underlying most of the IWANN calls for papers is the aim to reassume some of the motivations of the groundwork stages of biocybernetics and the later bionics formulations and to try to reconsider the present value of two basic questions. The?rstoneis: Whatd. Nº de ref. del artículo: 4889704
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Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence
Publicado por
Springer Berlin Heidelberg Jun 2001, 2001
ISBN 10: 3540422358
ISBN 13: 9783540422358
Nuevo
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Underlying most of the IWANN calls for papers is the aim to reassume some of the motivations of the groundwork stages of biocybernetics and the later bionics formulations and to try to reconsider the present value of two basic questions. The rstoneis:'Whatdoesneurosciencebringintocomputation(thenew bionics) ' That is to say, how can we seek inspiration in biology Titles such as 'computational intelligence', 'arti cial neural nets', 'genetic algorithms', 'evolutionary hardware', 'evolutive architectures', 'embryonics', 'sensory n- romorphic systems', and 'emotional robotics' are representatives of the present interest in 'biological electronics' (bionics). Thesecondquestionis:'Whatcanreturncomputationtoneuroscience(the new neurocybernetics) ' That is to say, how can mathematics, electronics, c- puter science, and arti cial intelligence help the neurobiologists to improve their experimental data modeling and to move a step forward towards the understa- ing of the nervous system Relevant here are the general philosophy of the IWANN conferences, the sustained interdisciplinary approach, and the global strategy, again and again to bring together physiologists and computer experts to consider the common and pertinent questions and the shared methods to answer these questions. 868 pp. Englisch. Nº de ref. del artículo: 9783540422358
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Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence : 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part I
Publicado por
Springer Berlin Heidelberg, 2001
ISBN 10: 3540422358
ISBN 13: 9783540422358
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Underlying most of the IWANN calls for papers is the aim to reassume some of the motivations of the groundwork stages of biocybernetics and the later bionics formulations and to try to reconsider the present value of two basic questions. The rstoneis:'Whatdoesneurosciencebringintocomputation(thenew bionics) ' That is to say, how can we seek inspiration in biology Titles such as 'computational intelligence', 'arti cial neural nets', 'genetic algorithms', 'evolutionary hardware', 'evolutive architectures', 'embryonics', 'sensory n- romorphic systems', and 'emotional robotics' are representatives of the present interest in 'biological electronics' (bionics). Thesecondquestionis:'Whatcanreturncomputationtoneuroscience(the new neurocybernetics) ' That is to say, how can mathematics, electronics, c- puter science, and arti cial intelligence help the neurobiologists to improve their experimental data modeling and to move a step forward towards the understa- ing of the nervous system Relevant here are the general philosophy of the IWANN conferences, the sustained interdisciplinary approach, and the global strategy, again and again to bring together physiologists and computer experts to consider the common and pertinent questions and the shared methods to answer these questions. Nº de ref. del artículo: 9783540422358
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Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence: 6th International Work-Conference on Artificial and Natural Neural ... I (Lecture Notes in Computer Science, 2084)
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Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence: 6th International Work-Conference on Artificial and Natural Neural ... I (Lecture Notes in Computer Science, 2084)
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Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Jun 2001, 2001
ISBN 10: 3540422358
ISBN 13: 9783540422358
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -Underlying most of the IWANN calls for papers is the aim to reassume some of the motivations of the groundwork stages of biocybernetics and the later bionics formulations and to try to reconsider the present value of two basic questions. The rstoneis:¿Whatdoesneurosciencebringintocomputation(thenew bionics) ¿ That is to say, how can we seek inspiration in biology Titles such as ¿computational intelligence¿, ¿arti cial neural nets¿, ¿genetic algorithms¿, ¿evolutionary hardware¿, ¿evolutive architectures¿, ¿embryonics¿, ¿sensory n- romorphic systems¿, and ¿emotional robotics¿ are representatives of the present interest in ¿biological electronics¿ (bionics). Thesecondquestionis:¿Whatcanreturncomputationtoneuroscience(the new neurocybernetics) ¿ That is to say, how can mathematics, electronics, c- puter science, and arti cial intelligence help the neurobiologists to improve their experimental data modeling and to move a step forward towards the understa- ing of the nervous system Relevant here are the general philosophy of the IWANN conferences, the sustained interdisciplinary approach, and the global strategy, again and again to bring together physiologists and computer experts to consider the common and pertinent questions and the shared methods to answer these questions.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 868 pp. Englisch. Nº de ref. del artículo: 9783540422358
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Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence: 6th International Work-Conference on Artificial and Natural Neural . I (Lecture Notes in Computer Science) (Pt. 1)
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Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence: 6th International Work-Conference on Artificial and Natural Neural Networks, Iwann 2001 Granada, Spain, June 13-15, 2001 : Proceedings
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