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VRSTA GRADIVAanalitična raven (sestavni del), tekstovno gradivo, tiskano, 1.01 - izvirni znanstveni članek
DRŽAVA IZIDASlovenija
LETO IZIDA2006
JEZIK BESEDILA/IZVIRNIKAangleški
PISAVAlatinica
ODGOVORNOSTMano, Jean-Pierre - avtor // Bourjot, Christine - avtor // Lopardo, Gabriel - avtor // Glize, Pierre - avtor
NASLOVBio-inspired mechanisms for artificial self-organized systems
V PUBLIKACIJIInformatica. - ISSN 0350-5596. - ǂVol. ǂ30, ǂno. ǂ1 (2006), str. 55-62.
KRATKA VSEBINASelf-organization is a growing interdisciplinary field of research about a phenomenon that can be observedin the Universe, in Nature and in social contexts. Research on self-organization tries to describe and explain forms, comlex 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 understandand to control underlying mechanisms allowing desired emergence of forms, complex patterns and behaviours. Rather that attempting to eliminate such self-organization in artificial systems, we think that this might be deliberately harnessed in order to reach desiderable 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 behaviours in order to obtain a relevant collective one. For each forms of self-organisation, we present a case study to show how we trasposed it to some artificial systemsand then analyse the strengths and weakness of such an approach.
OPOMBESoavtorji: Bourjot Christine, Lopardo Gabriel,Glize Pierre
PREDMETNE OZNAKE// informatika // biološki sistemi // samoorganizacija
UDK004:57
COBISSSI-ID1

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