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Modelling and Data Analysis
2025. Vol. 15, no. 2, 152–164
doi:10.17759/mda.2025150209
ISSN: 2219-3758 / 2311-9454 (online)

Probabilistic model of behavior multi-agent system is three-dimensional space developing

 
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Abstract

The article discusses theoretical aspects of multi-agent systems based of probability Markov models. System consists of agents, that have ability to cooperate for achievement of goals. The behavior of system is unpredictable from point of goals’ view. The behavior of agents Agent’s behavior is determined with the aid of the algorithm that includes identification of the probabilistic model parameters using maximized objective functions representing individual and group probabilities for goals reaching (marking).

General Information

Keywords: multi-agent systems; group control; Markov process; model identification; behavior control for applied multi-agent systems

Journal rubric: Software

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2025150209

Received 25.05.2025

Accepted

Published

For citation: Levonovich, N.I. (2025). Probabilistic model of behavior multi-agent system is three-dimensional space developing. Modelling and Data Analysis, 15(2), 152–164. (In Russ.). https://doi.org/10.17759/mda.2025150209

© Levonovich N.I., 2025

License: CC BY-NC 4.0

References

  1. Vengerskiy algoritm resheniya zadachi o naznacheniah [Electronnyi resurs] // Wikikonspecty ITMO – URL: https://neerc.ifmo.ru/wiki/index.php?title=%D0%92%D0%B5%D0%BD%D0%B3%D0%B5%D1%80%D1%81%D0%BA%D0%B8%D0%B9_%D0%B0%D0%BB%D0%B3%D0%BE%D1%80%D0%B8%D1%82%D0%BC_%D1%80%D0%B5%D1%88%D0%B5%D0%BD%D0%B8%D1%8F_%D0%B7%D0%B0%D0%B4%D0%B0%D1%87%D0%B8_%D0%BE_%D0%BD%D0%B0%D0%B7%D0%BD%D0%B0%D1%87%D0%B5%D0%BD%D0%B8%D1%8F%D1%85 (Accessed 05.05.2025)
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  3. Algoritm Kuna nahozhdeniya naibolshego parosochetaniya [Electronnyi resurs] // MAXimal :: algo – URL: http://e-maxx.ru/algo/kuhn_matching (Accessed 05.05.2025)
  4. Kuravsky L. S., Marmalyuk P. A., Yuryev G. A., Dumin P. N., A numerical technique for the identification of discrete-state continuous-time Markov models, Appl. Math. Sci. 9:379–391, 2015. http://dx.doi.org/10.12988/ams.2015.410882.

 

Information About the Authors

Nikita I. Levonovich, student, Moscow State University of Psychology and Education (MSUPE), Dmitrov, Russian Federation, ORCID: https://orcid.org/0000-0002-8580-0490, e-mail: levonikitatech@yandex.ru

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