On modelling multi-agent systems based on large language models

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Abstract

The article studies the effectiveness of implementation of multi-agent systems based on large language models in various spheres of human activity, analyses their advantages, problems and challenges. The results of the research have shown that multi-agent systems based on large language models have significant potential and wide opportunities in modelling various environments and solving various tasks.

About the authors

Eugeny Yu. Shchetinin

Financial University under the Government of the Russian Federation

Email: riviera-molto@mail.ru
ORCID iD: 0000-0003-3651-7629
Scopus Author ID: 16408533100
ResearcherId: O-8287-2017

Doctor of Physical and Mathematical Sciences, Lecturer of Artificial Intelligence Department

49, Leningradsky Pr, Moscow, 125993, Russian Federation

Tatyana R. Velieva

RUDN University

Email: velieva-tr@rudn.ru
ORCID iD: 0000-0003-4466-8531

Candidate of Physical and Mathematical Sciences, Senior lecturer of Department of Probability Theory and Cyber Security

6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation

Lyubov A. Yurgina

RUDN University

Email: yurgina_la@pfur.ru
ORCID iD: 0009-0004-4661-5059

Ph.D. of Pedagogical Sciences, Head of the Department of Mathematics and Information Technology of the Sochi branch

32 Kuibyshev St, Sochi, 354340, Russian Federation

Anastasia V. Demidova

RUDN University

Author for correspondence.
Email: demidova-av@rudn.ru
ORCID iD: 0000-0003-1000-9650

Candidate of Physical and Mathematical Sciences, Assistant Professor of Department of Probability Theory and Cyber Security

6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation

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