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Title

Self-Organisation: Paradigms and Applications

Authors
Foukia, Noria
Hassas, Salima
Karageorgos, Anthony
Mostéfaoui, Soraya Kouadri
Rana, Omer F.
Ulieru, Mihaela
Valckenaers, Paul
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Published in Di Marzo Serugendo, G. & Karageorgos, A. & Rana, O.-F. & Zambonelli, F. Engineering Self-Organising Systems: Nature-Inspired Approaches to Software Engineering. Berlin: Springer. 2004, p. 1-19
Collection Lecture Notes in Computer Science; 2977
Abstract A self-organising system functions without central control, and through contextual local interactions. Components achieve a simple task individually, but a complex collective behaviour emerges from their mutual interactions. Such a system modifies its structure and functionality to adapt to changes to requirements and to the environment based on previous experience. Nature provides examples of self-organisation, such as ants food foraging, molecules formation, or antibodies detection. Similarly, current software applications are driven by social interactions (negotiations, transactions), based on autonomous entities or agents, and run in highly dynamic environments. The issue of engineering applications, based on the principles of self-organisation to achieve robustness and adaptability, is gaining increasing interest in the software research community. The aim of this paper is to survey natural and artificial complex systems exhibiting emergent behaviour, and to outline the mechanisms enabling such behaviours.
Keywords Self-organisationSelf-organising applicationEmergenceCollective behaviourMulti-agent systems
Identifiers
ISBN: 978-3-540-21201-0
Full text
Book chapter (Author postprint) (190 Kb) - document accessible for UNIGE members only Limited access to UNIGE
Other version: http://link.springer.com/book/10.1007/b95863
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Research group Institute of Information Service Science (ISS)
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(ISO format)
DI MARZO SERUGENDO, Giovanna et al. Self-Organisation: Paradigms and Applications. In: Di Marzo Serugendo, G. & Karageorgos, A. & Rana, O.-F. & Zambonelli, F. (Ed.). Engineering Self-Organising Systems: Nature-Inspired Approaches to Software Engineering. Berlin : Springer, 2004. p. 1-19. (Lecture Notes in Computer Science; 2977) https://archive-ouverte.unige.ch/unige:48320

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Deposited on : 2015-03-18

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