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dc.contributor.advisorBaras, John S.en_US
dc.contributor.authorBaras, John S.en_US
dc.contributor.authorLi, Hongjunen_US
dc.contributor.authorMykoniatis, G.en_US
dc.date.accessioned2007-05-23T10:06:19Z
dc.date.available2007-05-23T10:06:19Z
dc.date.issued1998en_US
dc.identifier.urihttp://hdl.handle.net/1903/5979
dc.description.abstractThis report describes an integrated, distributed fault management (IDFM) system for communication networks. The architecture is based on a distributed intelligent agent paradigm, with probabilistic networks as the framework for knowledge representation and evidence inferencing. A static strategy for generating the suggestive test sequence is proposed, based on which a heuristic dynamic strategy is initiated. Another dynamic strategy, formulated as a Markov decision problem, is also provided. To solve this problem, reinforcement learning techniques are investigated.en_US
dc.format.extent425775 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1998-21en_US
dc.relation.ispartofseriesCSHCN; TR 1998-10en_US
dc.subjectnetwork managementen_US
dc.subjectexpert systemsen_US
dc.subjectknowledge representationen_US
dc.subjectbelief networksen_US
dc.subjectintelligent agentsen_US
dc.subjectreinforcement learningen_US
dc.subjectIntelligent Control Systemsen_US
dc.subjectSystems Integration Methodologyen_US
dc.titleIntegrated, Distributed Fault Management for Communication Networksen_US
dc.typeTechnical Reporten_US
dc.contributor.departmentISRen_US
dc.contributor.departmentCSHCNen_US


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