Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2008, Issue 3, Pages 3–15 (Mi iipr570)  
This article is cited in 3 scientific papers (total in 3 papers)

Intelligent systems and technologies

Modelling of processes of intelligent agents interaction in multiagent systems (MAS)

G. V. Rybina, S. S. Parondzhanov

Moscow Engineering Physics Institute
Full-text PDF (463 kB) Citations (3)
Abstract: The paper discussed questions related to experience in developing system of imitational modelling for interaction in intelligent agents (IMIIA) based on general model of agents' interaction proposed by Rybina G.V. in the end of 90-th and developing researches in the area of intelligent dialog systems including well-known Popov E.V. communicational model. Main aims of IMIIA design are checking for application of these models, methods and algorithms of intelligent agents’ interaction and for their architectures during the development of MAS prototypes for different problem areas. IMIIA architecture, instruments for support of imitational experiments, instruments for messages’ delivering and working, etc. system components, are in question. There are examples from real MAS prototypes for several applications.
Keywords: multiagent system, intelligent agent, interaction, agent architecture, imitational modelling, dialog structure.
English version:
Scientific and Technical Information Processing, 2010, Volume 37, Issue 5, Pages 318–327
DOI: https://doi.org/10.3103/S0147688210050072
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: G. V. Rybina, S. S. Parondzhanov, “Modelling of processes of intelligent agents interaction in multiagent systems (MAS)”, Artificial Intelligence and Decision Making, 2008, no. 3, 3–15; Scientific and Technical Information Processing, 37:5 (2010), 318–327
Citation in format AMSBIB
\Bibitem{RybPar08}
\by G.~V.~Rybina, S.~S.~Parondzhanov
\paper Modelling of processes of intelligent agents interaction in multiagent systems (MAS)
\jour Artificial Intelligence and Decision Making
\yr 2008
\issue 3
\pages 3--15
\mathnet{http://mi.mathnet.ru/iipr570}
\elib{https://elibrary.ru/item.asp?id=11790372}
\transl
\jour Scientific and Technical Information Processing
\yr 2010
\vol 37
\issue 5
\pages 318--327
\crossref{https://doi.org/10.3103/S0147688210050072}
Linking options:
  • https://www.mathnet.ru/eng/iipr570
  • https://www.mathnet.ru/eng/iipr/y2008/i3/p3
    • This publication is cited in the following 3 articles:
    1. Tammy R. Fuller, Gerald E. Deane, 2016 Future Technologies Conference (FTC), 2016, 754  crossref
    2. Victor M. Rybin, Galina V. Rybina, Sergey S. Parondzhanov, Advances in Intelligent Systems and Computing, 449, Biologically Inspired Cognitive Architectures (BICA) for Young Scientists, 2016, 159  crossref
    3. Sokratov, N. Sokratov, Ilyushin, V. Ilyushin, “SIMULATION SERVICE STATIONS FOREST MACHINES IN SYSTEM ANYLOGIC”, Alternative energy sources in the transport-technological complex: problems and prospects of rational use of, 2:2 (2015), 506  crossref
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Artificial Intelligence and Decision Making
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    Full-text PDF :50
    References:1
     
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