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Offline Emergence Engineering For Agent Societies

dc.date.accessioned2007-12-07T11:38:07Z
dc.date.available2007-12-07T11:38:07Z
dc.date.issued2007-12-07T11:38:07Z
dc.identifier.uriurn:nbn:de:hebis:34-2007120719844
dc.identifier.urihttp://hdl.handle.net/123456789/2007120719844
dc.format.extent396316 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.rightsUrheberrechtlich geschützt
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/
dc.subjectAgentseng
dc.subjectMulti-Agent Systemseng
dc.subjectAMASeng
dc.subjectEmergenceeng
dc.subjectEmergence Engineeringeng
dc.subjectRobusteng
dc.subjectSelf-Organizationeng
dc.subjectGenetic Programmingeng
dc.subjectRule-based Genetic Programmingeng
dc.subjectRBGPeng
dc.subjectLoad-Balancingeng
dc.subjectMobile Agentseng
dc.subject.ddc004
dc.titleOffline Emergence Engineering For Agent Societieseng
dc.typeTechnischer Report
dcterms.abstractMany examples for emergent behaviors may be observed in self-organizing physical and biological systems which prove to be robust, stable, and adaptable. Such behaviors are often based on very simple mechanisms and rules, but artificially creating them is a challenging task which does not comply with traditional software engineering. In this article, we propose a hybrid approach by combining strategies from Genetic Programming and agent software engineering, and demonstrate that this approach effectively yields an emergent design for given problems.eng
dcterms.accessRightsopen access
dcterms.creatorZapf, Michael
dcterms.creatorWeise, Thomas
dcterms.isPartOfKasseler Informatikschriften ;; 2007, 8ger
dc.subject.ccsI.2.6
dc.subject.ccsI.5.0
dc.subject.ccsC.2.2
dc.subject.ccsC.2.4
dc.subject.ccsI.2.11
dc.subject.ccsI.6
dc.subject.ccsK.3.2
dcterms.source.seriesKasseler Informatikschriftenger
dcterms.source.volume2007, 8ger


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