Bio-inspired Mechanisms for Artificial Self-organised Systems
dc.contributor.author
dc.date.accessioned
2014-09-23T06:47:21Z
dc.date.available
2014-09-23T06:47:21Z
dc.date.issued
2006
dc.identifier.issn
0350-5596
dc.identifier.uri
dc.description.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
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
Slovene Society Informatika, Ljubljana
dc.relation.isformatof
Reproducció digital del document publicat a: http://www.informatica.si/PDF/30-1/04_Jean-Pierre-Bio-inspired%20Mechanisms%20for...pdf
dc.relation.ispartof
© Informatica : an International Journal of Computing and Informatics, 2006, vol. 30, núm. 1, p. 55-62
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Articles publicats (D-EEEiA)
dc.rights
Tots els drets reservats
dc.subject
dc.title
Bio-inspired Mechanisms for Artificial Self-organised Systems
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.embargo.terms
Cap
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.idgrec
011845
dc.identifier.eissn
1854-3871