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Bio-inspired Mechanisms for Artificial Self-organised Systems

Self-organization is a growing interdisciplinary field of research about a phenomenon that can be observed in the Universe, in Nature and in social contexts. Research on self-organization tries to describe and explain forms, complex patterns and behaviours that arise from a collection of entities without an external organizer. As researchers in artificial systems, our aim is not to mimic self-organizing phenomena arising in Nature, but to understand and to control underlying mechanisms allowing desired emergence of forms, complex patterns and behaviours. Rather than attempting to eliminate such self-organization in artificial systems, we think that this might be deliberately harnessed in order to reach desirable global properties. In this paper we analyze three forms of self-organization: stigmergy, reinforcement mechanisms and cooperation. The amplification phenomena founded in stigmergic process or in reinforcement process are different forms of positive feedbacks that play a major role in building group activity or social organization. Cooperation is a functional form for self-organization because of its ability to guide local behaviours in order to obtain a relevant collective one. For each forms of self-organisation, we present a case study to show how we transposed it to some artificial systems and then analyse the strengths and weaknesses of such an approach

© Informatica : an International Journal of Computing and Informatics, 2006, vol. 30, núm. 1, p. 55-62

Slovene Society Informatika, Ljubljana

Author: Mano, Jean-Pierre
Bourjot, Christine
Lopardo, Gabriel Alejandro
Glize, Pierre
Date: 2006
Abstract: Self-organization is a growing interdisciplinary field of research about a phenomenon that can be observed in the Universe, in Nature and in social contexts. Research on self-organization tries to describe and explain forms, complex patterns and behaviours that arise from a collection of entities without an external organizer. As researchers in artificial systems, our aim is not to mimic self-organizing phenomena arising in Nature, but to understand and to control underlying mechanisms allowing desired emergence of forms, complex patterns and behaviours. Rather than attempting to eliminate such self-organization in artificial systems, we think that this might be deliberately harnessed in order to reach desirable global properties. In this paper we analyze three forms of self-organization: stigmergy, reinforcement mechanisms and cooperation. The amplification phenomena founded in stigmergic process or in reinforcement process are different forms of positive feedbacks that play a major role in building group activity or social organization. Cooperation is a functional form for self-organization because of its ability to guide local behaviours in order to obtain a relevant collective one. For each forms of self-organisation, we present a case study to show how we transposed it to some artificial systems and then analyse the strengths and weaknesses of such an approach
Format: application/pdf
ISSN: 0350-5596 (versió paper)
1854-3871 (versió electrònica)
Document access: http://hdl.handle.net/10256/9385
Language: eng
Publisher: Slovene Society Informatika, Ljubljana
Collection: Reproducció digital del document publicat a: http://www.informatica.si/PDF/30-1/04_Jean-Pierre-Bio-inspired%20Mechanisms%20for...pdf
Articles publicats (D-EEEiA)
Is part of: © Informatica : an International Journal of Computing and Informatics, 2006, vol. 30, núm. 1, p. 55-62
Rights: Tots els drets reservats
Subject: Sistemes autoorganitzatius
Self-organizing systems
Title: Bio-inspired Mechanisms for Artificial Self-organised Systems
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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