Organic computing
Organic Computing is a research field emerging around the conviction that problems of organization in complex systems in computer science, telecommunications, neurobiology, molecular biology, ethology, and possibly even sociology can be tackled scientifically in a unified way. From the computer scie...
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2008. |
| Collection: | Understanding Complex Systems
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| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Organic computing, Rolf P. Würtz (ed.), 2008, Berlin, Springer, 1 vol. (XI-355 p.), Understanding complex systems, 978-3-540-77656-7 |
Table des matières:
- Introduction: Organic Computing The Organic Future of Information Technology Systems Engineering for Organic Computing: The Challenge of Shared Design and Control between OC Systems and their Human Engineers Controlled Emergence and Self-Organization Organic Computing and Complex Dynamical Systems Conceptual Foundations and Interdisciplinary Perspectives Evolutionary Design of Emergent Behavior Genesis of Organic Computing Systems: Coupling Evolution and Learning Organically Grown Architectures: Creating Decentralized, Autonomous Systems by Embryomorphic Engineering Artificial Development Self-adaptive Worker-Helper Systems with Self-Organized Task Allocation Concepts for Self-Adaptive and Self-Healing Networked Embedded Systems An Artificial Hormone System for Self-Organizing Real-Time Task Allocation in Organic Middleware Bio-Inspired Networking Self-Organizing Networked Embedded Systems Self-organized Evaluation of Dynamic Hand Gestures for Sign Language Recognition Subspace Image Representation for Facial Expression Analysis and Face Recognition and its Relation to the Human Visual System