Informatika i Ee Primeneniya [Informatics and its Applications]
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Informatika i Ee Primeneniya [Informatics and its Applications], 2009, Volume 3, Issue 4, Pages 76–86 (Mi ia82)  

This article is cited in 2 scientific papers (total in 2 papers)

Self-organization of intelligent agents groups simulation depending on degree of interaction

I. A. Kirikov, A. V. Kolesnikov, S. V. Listopad

Institute for Problems of Informatics RAS, Kaliningrad Branch
Full-text PDF (351 kB) Citations (2)
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Abstract: One of the approaches to the creation of self-organizing intellectual computer system for decision-making support based on an analysis of the experts' goals is considered. An algorithmfor determining the type of multiagent system architecture based on the extent of interaction between agents is considered, that is relevant to determining the effectiveness of expert groups and to improving the quality of decision-making.
Keywords: decision support computer system; self-organizing multiagent system; similarity measure of agents' fuzzy goals; algorithm for determining the type of multiagent system architecture based on the extent of interaction between agents.
Document Type: Article
Language: Russian
Citation: I. A. Kirikov, A. V. Kolesnikov, S. V. Listopad, “Self-organization of intelligent agents groups simulation depending on degree of interaction”, Inform. Primen., 3:4 (2009), 76–86
Citation in format AMSBIB
\Bibitem{KirKolLis09}
\by I.~A.~Kirikov, A.~V.~Kolesnikov, S.~V.~Listopad
\paper Self-organization of intelligent agents groups simulation depending on degree of interaction
\jour Inform. Primen.
\yr 2009
\vol 3
\issue 4
\pages 76--86
\mathnet{http://mi.mathnet.ru/ia82}
Linking options:
  • https://www.mathnet.ru/eng/ia82
  • https://www.mathnet.ru/eng/ia/v3/i4/p76
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Информатика и её применения
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    Abstract page:301
    Full-text PDF :100
    References:41
    First page:1
     
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