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Upravlenie Bol'shimi Sistemami, 2014, Issue 51, Pages 174–196 (Mi ubs783)  
This article is cited in 7 scientific papers (total in 7 papers)

Remote Control and Navigation

Model of agents (robots) command behaviour: cognitive approach

A. A. Kulinich

Institute of Control Sciences of RAS
Full-text PDF (1332 kB) Citations (7)
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Abstract: We suggest a mathematical model of agents’ cooperation in dynamics, which employs agents' utility functions and cognitive dissonance of their relations. The model is based on the theories of social psychologists investigating behavior of people in small social groups and explaining principles of their functioning and stability. We illustrate the suggested model with a simulation of a virtual soccer game of agents (robots). The developed simulation allows modeling diverse aspects of agents’ cooperation and selfish behavior.
Keywords: cooperation of agents, criteria of utility, cognitive dissonance, a rule of the agent behavior, command behavior, selfish behavior.
English version:
Automation and Remote Control, 2016, Volume 77, Issue 3, Pages 510–522
DOI: https://doi.org/10.1134/S0005117916030127
Bibliographic databases:
Document Type: Article
UDC: 004.896
BBC: 32.813
Language: Russian
Citation: A. A. Kulinich, “Model of agents (robots) command behaviour: cognitive approach”, UBS, 51 (2014), 174–196; Autom. Remote Control, 77:3 (2016), 510–522
Citation in format AMSBIB
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\by A.~A.~Kulinich
\paper Model of agents (robots) command behaviour: cognitive approach
\jour UBS
\yr 2014
\vol 51
\pages 174--196
\mathnet{http://mi.mathnet.ru/ubs783}
\transl
\jour Autom. Remote Control
\yr 2016
\vol 77
\issue 3
\pages 510--522
\crossref{https://doi.org/10.1134/S0005117916030127}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=000373345900012}
Linking options:
  • https://www.mathnet.ru/eng/ubs783
  • https://www.mathnet.ru/eng/ubs/v51/p174
    • This publication is cited in the following 7 articles:
    1. D. Ya. Ivanov, “Raspredelenie rolei v koalitsiyakh robotov pri ogranichennykh kommunikatsiyakh na osnove roevogo vzaimodeistviya”, UBS, 78 (2019), 23–45  mathnet  crossref
    2. I. P. Karpova, V. E. Karpov, “Agressiya v mire animatov, ili o nekotorykh mekhanizmakh upravleniya agressivnym povedeniem v gruppovoi robototekhnike”, UBS, 76 (2018), 173–218  mathnet  crossref
    3. A. Kulinich, “Architecture of a qualitative cognitive agent”, Artificial Intelligence (RCAI 2018), Communications in Computer and Information Science, 934, eds. S. Kuznetsov, G. Osipov, V. Stefanuk, Springer-Verlag, Berlin, 2018, 102–111  crossref  isi  scopus
    4. I. Karpova, “About realization of aggressive behavior model in group robotics”, BICA 2017: Biologically Inspired Cognitive Architectures (BICA) for Young Scientists, Advances in Intelligent Systems and Computing, 636, eds. A. Samsonovich, V. Klimov, Springer-Verlag, Berlin, 2018, 78–84  crossref  isi
    5. A. A. Kulinich, “Model of command behavior of agents in a qualitative semiotic environment. Part 2.Models and algorithms for the formation and operation of agents’ teams”, 45, no. 6, 2018, 425–434  mathnet  mathnet  crossref
    6. V. E. Karpov, “Modeli sotsialnogo povedeniya v gruppovoi robototekhnike”, UBS, 59 (2016), 165–232  mathnet  elib
    7. Yu. S. Legovich, D. Yu. Maksimov, “Selecting executor in a group of intellectual agents”, Autom. Remote Control, 78:7 (2017), 1341–1349  mathnet  crossref  elib
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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    References:74
     
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