Engineering self-organising systems : nature-inspired approaches to software engineering
As information handling systems get more and more complex, it becomes increasingly difficult to manage them using traditional approaches based on centralized and pre-defined control mechanisms. Over recent years, there has been a significant increase in taking inspiration from biology, the physical...
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| Autor principal: | |
|---|---|
| Outros Autores: | , |
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Colecção: | Lecture notes in computer science. Lecture notes in artificial intelligence
2977 |
| Assuntos: | |
| Acesso em linha: | 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: | • Engineering self-organising systems, nature-inspired approaches to software engineering, Giovanna Di Marzo Serugendo, Anthony Karageorgos, Omer F. Rana ... [et al.], (Eds.), Berlin, Springer, 2004, 1 vol. (X-298 p.), Lecture notes in computer science, 3-540-21201-9 • Engineering Self-Organising Systems, Texte imprimé, 9783662182444 |