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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Detalles Bibliográficos
Autor Principal: Di Marzo Serugendo, Giovanna, 19..-
Outros autores: Rana, Omer F., 19..- (Directeur de la publication), Karageorgos, Anthony, 19..- (Directeur de la publication)
Formato: Livre numérique
Idioma:Anglais
Publicado: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Series:Lecture notes in computer science. Lecture notes in artificial intelligence 2977
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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
Descripción
Résumé: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 world, chemistry, and social systems to more efficiently manage such systems - generally based on the concept of self-organisation; this gave rise to self-organising applications. This book constitutes a reference and starting point for establishing the field of engineering self-organising applications. It comprises revised and extended papers presented at the Engineering Self-Organising Applications Workshop, ESOA 2003, held at AAMAS 2003 in Melbourne, Australia, in July 2003 and selected invited papers from leading researchers in self-organisation. The book is organized in parts on applications, natural metaphors (multi-cells and genetic algorithms, stigmergy, and atoms and evolution), artificial interaction mechanisms, middleware, and methods and tools.
descrición da copia:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540247012 (PDF)
ISSN:1611-3349
2945-9141
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