Systematic Design for Emergence in Cellular Nonlinear Networks : With Applications in Natural Computing and Signal Processing
Cellular nonlinear networks are naturally inspired computing architectures where complex dynamic behaviors may emerge as a result of the local or prescribed connectivity among simple cells. Functionally, much like in biology, each cell is defined by a few bits of information called a gene. Such syst...
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| Glavni autor: | |
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| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Izdanje: | 1st ed. 2008. |
| Serija: | Studies in Computational Intelligence
95 |
| Online pristup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Bilješka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Systematic Design for Emergence in Cellular Nonlinear Networks, Texte imprimé, 9783642095498 • Systematic Design for Emergence in Cellular Nonlinear Networks, Texte imprimé, 9783540845966 • Systematic design for emergence in cellular nonlinear networks, with applications in natural computing and signal processing, with 80 figures and 10 tables, Radu Dogaru, Berlin, Springer, 2008, 1 vol. (xi-166 p.), Studies in computational intelligence, 978-3-540-76800-5 • Systematic Design for Emergence in Cellular Nonlinear Networks, Texte imprimé, 9783642095498 • Systematic Design for Emergence in Cellular Nonlinear Networks, Texte imprimé, 9783540845966 • Systematic design for emergence in cellular nonlinear networks, with applications in natural computing and signal processing, with 80 figures and 10 tables, Radu Dogaru, Berlin, Springer, 2008, 1 vol. (xi-166 p.), Studies in computational intelligence, 978-3-540-76800-5 |
| Sažetak: | Cellular nonlinear networks are naturally inspired computing architectures where complex dynamic behaviors may emerge as a result of the local or prescribed connectivity among simple cells. Functionally, much like in biology, each cell is defined by a few bits of information called a gene. Such systems may be used in signal processing applications (intelligent sensors) or may be used to model and understand natural systems. While many publications focus on the dynamics in cellular automata and various applications, less deal with an important problem, that of designing for emergence. Put in simple words: How to choose a cell such that a desired behavior will occur in the cellular system. This book proposes a systematic framework for measuring emergence and a systematic design method to locate computationally meaningful genes in a reasonable computing time. Programs and application examples are provided so that the reader may easily understand the new concepts and develop her own specific experiments. An accessible language recommends it to a large audience including specialists from various interdisciplinary fields who may benefit from a better understanding of emergence and its applications to their specific field. |
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| Opis djela: | Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| ISBN: | 9783540768012 |
| ISSN: | 1860-9503 |
| Pristup: | Accès en ligne pour les établissements français bénéficiaires des licences nationales Accès soumis à abonnement pour tout autre établissement Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |