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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Hauptverfasser: Di Marzo Serugendo, Giovanna, Karageorgos, Anthony, Rana, Omer F, Zambonelli, Franco
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creator Di Marzo Serugendo, Giovanna
Karageorgos, Anthony
Rana, Omer F
Zambonelli, Franco
description 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.
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identifier ISSN: 0302-9743
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source Springer Books
subjects Applied sciences
Artificial Intelligence
Computation by Abstract Devices
Computer Communication Networks
Computer Science
Computer science
control theory
systems
Evolutionary programming (Computer science)
Exact sciences and technology
Software
Software Engineering
Software Engineering/Programming and Operating Systems
title Engineering Self-Organising Systems: Nature-Inspired Approaches to Software Engineering
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