Abstract:
The concept and algorithm of operation of a system of cooperative interaction of a
heterogeneous team of autonomous agents based on a multi-agent neurocognitive architecture are
presented in the article. The article also describes the process of forming a general graph of a problem
situation in the process of planning the implementation of a collective mission received by a humanmachine team. Such a system is necessary to implement coordinated, goal-oriented behavior of
heterogeneous human-machine teams. The relevance of the study is determined by the need to develop an
algorithm for cooperative interaction between participants in a heterogeneous team of autonomous agents
for the development of the theory and practice of creating intelligent decision-making and control systems
based on multi-agent neurocognitive architectures.
Citation:
K. Ch. Bzhikhatlov, I. A. Pshenokova, O. V. Nagoeva, “Cooperative interaction of participants in a heterogeneous team
of autonomous agents using neurocognitive models
of coordinated behavior”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2023, no. 6, 132–141
\Bibitem{BzhPshNag23}
\by K.~Ch.~Bzhikhatlov, I.~A.~Pshenokova, O.~V.~Nagoeva
\paper Cooperative interaction of participants in a heterogeneous team
of autonomous agents using neurocognitive models
of coordinated behavior
\jour News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences
\yr 2023
\issue 6
\pages 132--141
\mathnet{http://mi.mathnet.ru/izkab728}
\crossref{https://doi.org/10.35330/1991-6639-2023-6-116-132-141}
\elib{https://elibrary.ru/item.asp?id=https://www.elibrary.ru/item.asp?id=58804973}
\edn{https://elibrary.ru/IDMWRY}
Citation in format AMSBIB
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