Advances in biologically inspired information systems : models, methods, and tools
Technology is taking us to a world where myriads of heavily networked devices interact with the physical world in multiple ways and at multiple scales, from the global Internet down to micro and nano devices. Many of these devices are highly mobile and must adapt to the surrounding environment in a...
Guardado en:
| Otros Autores: | , |
|---|---|
| Formato: | Livre numérique |
| Lenguaje: | Anglais |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edición: | 1st ed. 2007. |
| Colección: | Studies in Computational Intelligence
69 |
| Acceso en línea: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Advances in biologically inspired information systems, models, methods, and tools, with 132 figures and 14 tables, edited by Falko Dressler, Iacopo Carreras, 2007, Berlins, Springer, 1 vol. (XII-302 p.), Studies in Computational Intelligence, 978-3-540-72692-0 • Advances in Biologically Inspired Information Systems, Texte imprimé, 9783540838661 • Advances in Biologically Inspired Information Systems, Texte imprimé, 9783642091766 |
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| 245 | 0 | 0 | |a Advances in biologically inspired information systems : |b models, methods, and tools |c edited by Falko Dressler, Iacopo Carreras. |
| 250 | |a 1st ed. 2007. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 69 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Self-Organizing Network Environments Bio-inspired Framework for Autonomic Communication Systems Towards a Biologically-inspired Architecture for Self-Regulatory and Evolvable Network Applications Biologically Inspired Synchronization for Wireless Networks Bio-Inspired Congestion Control: Conceptual Framework, Algorithm and Discussion Self-Organized Network Security Facilities based on Bio-inspired Promoters and Inhibitors System Design and Programming Context Data Dissemination in the Bio-inspired Service Life Cycle Eigenvector Centrality in Highly Partitioned Mobile Networks: Principles and Applications Toward Organization-Oriented Chemical Programming: A Case Study with the Maximal Independent Set Problem Evolving Artificial Cell Signaling Networks: Perspectives and Methods Sensor and Actor Networks Immune System-based Energy Efficient and Reliable Communication in Wireless Sensor Networks A Bio-Inspired Architecture for Division of Labour in SANETs A Pragmatic Model of Attention and Anticipation for Active Sensor Systems Search and Optimization Self-Organization for Search in Peer-to-Peer Networks A Bio-Inspired Location Search Algorithm for Peer to Peer Networks Ant Colony Optimization and its Application to Regular and Dynamic MAX-SAT Problems | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 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 Technology is taking us to a world where myriads of heavily networked devices interact with the physical world in multiple ways and at multiple scales, from the global Internet down to micro and nano devices. Many of these devices are highly mobile and must adapt to the surrounding environment in a totally unsupervised way. A fundamental research challenge is the design of robust decentralized computing systems that are capable of operating under changing environments and noisy input, and yet exhibit the desired behavior and response time, under constraints such as energy consumption, size, and processing power. Biological systems are able to handle many of these challenges with an elegance and efficiency still far beyond current human artifacts. The goal is to obtain methods on how to engineer technical systems, which have similar high stability and efficiency. With this book, we present a comprehensive overview of the most promising research directions in the area of bio-inspired computing. According to the broad spectrum addressed by the different book chapters, a rich variety of biological principles and their application to ICT systems are presented | ||
| 700 | 1 | |a Dressler, Falko. |4 pbd | |
| 700 | 1 | |a Carreras, Iacopo, |d 19..- |4 pbd | |
| 776 | 0 | |0 270658718 |t Advances in biologically inspired information systems |o models, methods, and tools, with 132 figures and 14 tables |f edited by Falko Dressler, Iacopo Carreras |d 2007 |c Berlins |n Springer |p 1 vol. (XII-302 p.) |s Studies in Computational Intelligence |z 978-3-540-72692-0 | |
| 776 | 0 | |t Advances in Biologically Inspired Information Systems |b Texte imprimé |z 9783540838661 | |
| 776 | 0 | |t Advances in Biologically Inspired Information Systems |b Texte imprimé |z 9783642091766 | |
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