Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/10897
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dc.contributor.authorBadjonski M.en
dc.contributor.authorIvanović, Mirjanaen
dc.date.accessioned2020-03-03T14:41:46Z-
dc.date.available2020-03-03T14:41:46Z-
dc.date.issued2000-01-01en
dc.identifier.issn01681699en
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/10897-
dc.description.abstractEmpirical experience shows that human experts determine suitable hybrids to grow in four steps. A general expert system prototype is built on the same principle, using an agent-oriented approach. The knowledge base consists of several agents. Agents communicate using their own language and update their internal beliefs until a solution is reached. A general prototype is being used for the creation of an expert system prototype for the determination of optimal maize hybrids to grow. (C) 2000 Elsevier Science B.V.en
dc.relation.ispartofComputers and Electronics in Agricultureen
dc.titleA multi-agent system for the determination of optimal hybrids in crop productionen
dc.typeJournal/Magazine Articleen
dc.identifier.doi10.1016/S0168-1699(99)00071-Xen
dc.identifier.scopus2-s2.0-0034119590en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/0034119590en
dc.relation.lastpage243en
dc.relation.firstpage233en
dc.relation.issue3en
dc.relation.volume25en
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptPrirodno-matematički fakultet, Departman za matematiku i informatiku-
crisitem.author.orcid0000-0003-1946-0384-
crisitem.author.parentorgPrirodno-matematički fakultet-
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