A new swarm mechanism based on social spiders colonies: from web weaving to region detection
Identifieur interne : 000794 ( Hal/Corpus ); précédent : 000793; suivant : 000795A new swarm mechanism based on social spiders colonies: from web weaving to region detection
Auteurs : Christine Bourjot ; Vincent Chevrier ; Vincent ThomasSource :
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Abstract
In multi-agent systems, the reactive approach emphasizes on the individual simplicity in comparison to the collective complexity of the task being performed. However, to apply such an approach to solve a problem, the components of the multi-agent system have to be designed such as the society is able to fulfill its requirements with a reasonable efficiency. Taking inspiration from natural swarm systems is a way to solve this conception issue. This article presents a new swarm mechanism inspired by the simulation of the collective weaving in social spiders. The main difference with existing mechanisms is the possibility in the spider model to integrate non-local information in local processing. In this paper, we describe the simulation model and its transposition to a specific application case: the extraction of regions in an image. Some experiments conducted on real gray level images are detailed together with studies about the influence of the different algorithm parameters on its performance.
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However, to apply such an approach to solve a problem, the components of the multi-agent system have to be designed such as the society is able to fulfill its requirements with a reasonable efficiency. Taking inspiration from natural swarm systems is a way to solve this conception issue. This article presents a new swarm mechanism inspired by the simulation of the collective weaving in social spiders. The main difference with existing mechanisms is the possibility in the spider model to integrate non-local information in local processing. In this paper, we describe the simulation model and its transposition to a specific application case: the extraction of regions in an image. Some experiments conducted on real gray level images are detailed together with studies about the influence of the different algorithm parameters on its performance.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">A new swarm mechanism based on social spiders colonies: from web weaving to region detection</title><author role="aut"><persName><forename type="first">Christine</forename><surname>Bourjot</surname></persName><email>christine.bourjot@loria.fr</email><idno type="halauthor">189030</idno><orgName ref="#struct-300292"></orgName><affiliation ref="#struct-2355"></affiliation></author><author role="aut"><persName><forename type="first">Vincent</forename><surname>Chevrier</surname></persName><email>chevrier@loria.fr</email><idno type="halauthor">129530</idno><orgName ref="#struct-364475"></orgName><affiliation ref="#struct-2355"></affiliation></author><author role="aut"><persName><forename type="first">Vincent</forename><surname>Thomas</surname></persName><email></email><idno type="halauthor">130882</idno><orgName ref="#struct-364475"></orgName><affiliation ref="#struct-2355"></affiliation></author><editor role="depositor"><persName><forename>Publications</forename><surname>Loria</surname></persName><email>publications@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2006-09-26 09:39:38</date><date type="whenModified">2016-05-18 08:59:35</date><date type="whenReleased">2006-09-28 15:22:46</date><date type="whenProduced">2003</date></edition><respStmt><resp>contributor</resp><name key="108626"><persName><forename>Publications</forename><surname>Loria</surname></persName><email>publications@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00099635</idno><idno type="halUri">https://hal.inria.fr/inria-00099635</idno><idno type="halBibtex">bourjot:inria-00099635</idno><idno type="halRefHtml">Web Intelligence and Agent Systems: An International Journal - WIAS, 2003, 1 (1), pp.47-64</idno><idno type="halRef">Web Intelligence and Agent Systems: An International Journal - WIAS, 2003, 1 (1), pp.47-64</idno></publicationStmt><seriesStmt><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="LORIA-CSAI" p="LORIA">Systèmes complexes et intelligence artificielle</idno><idno type="stamp" n="INRIA2">INRIA 2</idno><idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno></seriesStmt><notesStmt><note type="commentary">Article dans revue scientifique avec comité de lecture.</note><note type="audience" n="1">Not set</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">A new swarm mechanism based on social spiders colonies: from web weaving to region detection</title><author role="aut"><persName><forename type="first">Christine</forename><surname>Bourjot</surname></persName><email>christine.bourjot@loria.fr</email><idno type="halAuthorId">189030</idno><orgName ref="#struct-300292"></orgName><affiliation ref="#struct-2355"></affiliation></author><author role="aut"><persName><forename type="first">Vincent</forename><surname>Chevrier</surname></persName><email>chevrier@loria.fr</email><idno type="halAuthorId">129530</idno><orgName ref="#struct-364475"></orgName><affiliation ref="#struct-2355"></affiliation></author><author role="aut"><persName><forename type="first">Vincent</forename><surname>Thomas</surname></persName><idno type="halAuthorId">130882</idno><orgName ref="#struct-364475"></orgName><affiliation ref="#struct-2355"></affiliation></author></analytic><monogr><idno type="localRef">A03-R-010 || bourjot03a</idno><idno type="halJournalId" status="INCOMING">44298</idno><title level="j">Web Intelligence and Agent Systems: An International Journal - WIAS</title><imprint><biblScope unit="volume">1</biblScope><biblScope unit="issue">1</biblScope><biblScope unit="pp">47-64</biblScope><date type="datePub">2003</date></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><keywords scheme="author"><term xml:lang="fr">systeme multi-agent reactif</term><term xml:lang="fr">region detection.</term><term xml:lang="fr">reactive multi-agent system</term><term xml:lang="fr">swarm intelligence</term><term xml:lang="fr">self-organization</term><term xml:lang="fr">intelligence en essaim</term><term xml:lang="fr">auto-organisation</term><term xml:lang="fr">detection de region</term></keywords><classCode scheme="halDomain" n="info.info-oh">Computer Science [cs]/Other [cs.OH]</classCode><classCode scheme="halTypology" n="ART">Journal articles</classCode></textClass><abstract xml:lang="en">In multi-agent systems, the reactive approach emphasizes on the individual simplicity in comparison to the collective complexity of the task being performed. However, to apply such an approach to solve a problem, the components of the multi-agent system have to be designed such as the society is able to fulfill its requirements with a reasonable efficiency. Taking inspiration from natural swarm systems is a way to solve this conception issue. This article presents a new swarm mechanism inspired by the simulation of the collective weaving in social spiders. The main difference with existing mechanisms is the possibility in the spider model to integrate non-local information in local processing. In this paper, we describe the simulation model and its transposition to a specific application case: the extraction of regions in an image. Some experiments conducted on real gray level images are detailed together with studies about the influence of the different algorithm parameters on its performance.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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