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dc.contributor.authorHartvigsen, Gunnar
dc.contributor.authorJohansen, Dag
dc.date.accessioned2006-11-29T09:33:18Z
dc.date.available2006-11-29T09:33:18Z
dc.date.issued1990
dc.description.abstractArtificial intelligence applications are normally complex, demanding much computing power. This paper presents the multiagent architecture of StormCast, a distributed artificial intelligence application for severe storm forecasting. Important objectives as scaleability, robustness and reusability can be met by partitioning an ove rall task in subtasks, distribution of the subtasks on different nodes, parallel processing of the subtasks and cooperation between the subtasks.en
dc.format.extent54939 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/10037/406
dc.identifier.urnURN:NBN:no-uit_munin_258
dc.language.isoengen
dc.publisherUniversitetet i Tromsøen
dc.publisherUniversity of Tromsøen
dc.relation.ispartofseriesTekniske rapporter / Institutt for informatikk 4(1990)en
dc.rights.accessRightsopenAccess
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420en
dc.subjectVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550en
dc.subjectdistributed artificial intelligenceen
dc.subjectexpert systemen
dc.subjectweather forecastingen
dc.subjectdistributed applicationen
dc.titleA multiagent architecture for a distributed artificial intelligence applicationen
dc.typeResearch reporten
dc.typeForskningsrapporten


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