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dc.date.accessioned2009-01-09T08:35:56Z
dc.date.available2009-01-09T08:35:56Z
dc.date.issued2009-01-09T08:35:56Z
dc.identifier.uriurn:nbn:de:hebis:34-2009010925609
dc.identifier.urihttp://hdl.handle.net/123456789/2009010925609
dc.format.extent196620 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.subjectAgentseng
dc.subjectMulti-Agent Systemseng
dc.subjectAMASeng
dc.subjectEmergenceeng
dc.subjectEmergence Engineeringeng
dc.subjectOEEeng
dc.subjectRobusteng
dc.subjectSelf-Organizationeng
dc.subjectGenetic Programmingeng
dc.subjectRule-based Genetic Programmingeng
dc.subjectRBGPeng
dc.subjectElectioneng
dc.subjectCritical Sectioneng
dc.subject.ddc004
dc.titleApplicability of Emergence Engineering to Distributed Systems Scenarioseng
dc.typeTechnischer Report
dcterms.abstractGenetic Programming can be effectively used to create emergent behavior for a group of autonomous agents. In the process we call Offline Emergence Engineering, the behavior is at first bred in a Genetic Programming environment and then deployed to the agents in the real environment. In this article we shortly describe our approach, introduce an extended behavioral rule syntax, and discuss the impact of the expressiveness of the behavioral description to the generation success, using two scenarios in comparison: the election problem and the distributed critical section problem. We evaluate the results, formulating criteria for the applicability of our approach.eng
dcterms.accessRightsopen access
dcterms.creatorZapf, Michael
dcterms.creatorWeise, Thomas
dcterms.isPartOfKasseler Informatikschriftenger
dcterms.isPartOf2008, 5ger
dc.description.everythingPresented at EUMAS'08, the Sixth European Workshop on Multi-Agent Systems Bath, UK, December 18-29, 2008.eng
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


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