Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/10897
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Badjonski M. | en |
dc.contributor.author | Ivanović, Mirjana | en |
dc.date.accessioned | 2020-03-03T14:41:46Z | - |
dc.date.available | 2020-03-03T14:41:46Z | - |
dc.date.issued | 2000-01-01 | en |
dc.identifier.issn | 01681699 | en |
dc.identifier.uri | https://open.uns.ac.rs/handle/123456789/10897 | - |
dc.description.abstract | Empirical 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.ispartof | Computers and Electronics in Agriculture | en |
dc.title | A multi-agent system for the determination of optimal hybrids in crop production | en |
dc.type | Journal/Magazine Article | en |
dc.identifier.doi | 10.1016/S0168-1699(99)00071-X | en |
dc.identifier.scopus | 2-s2.0-0034119590 | en |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/0034119590 | en |
dc.relation.lastpage | 243 | en |
dc.relation.firstpage | 233 | en |
dc.relation.issue | 3 | en |
dc.relation.volume | 25 | en |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
crisitem.author.dept | Prirodno-matematički fakultet, Departman za matematiku i informatiku | - |
crisitem.author.orcid | 0000-0003-1946-0384 | - |
crisitem.author.parentorg | Prirodno-matematički fakultet | - |
Appears in Collections: | PMF Publikacije/Publications |
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