A method of the organizational structure synthesis of centralized multi-agent systems with a possibility of its automatic adaptation in the event of changing the environment parameters or the set task 

Yuriy V. Dubenko, Candidate of engineering sciences, associate professor, associate professor of the subdepartment of informatics and computer engineering, Kuban State Technological University (2 Moskovskaya street, Krasnodar, Russia), E-mail: Scorpioncool1@yandex.ru
Evgeniy E. Dyshkant, Candidate of engineering sciences, associate professor of the sub-department of informatics and information technologies of education, Armavir State Pedagogical University (159 Rozy Lyuksemburg, Armavir, Krasnodar Territory, Russia), E-mail: ed0802@yandex.ru
Aleksandr A. Obozovskiy, Lecturer, Krasnodar Higher Military Orders of Zhukov and the October Revolution Red Banner School named after Army General S.M. Shtemenko (4 Krasina, Krasnodar, Russia), E-mail: mr.bolduin@list.ru 

Background. The object of research is multi-agent systems. The subject of the research is the methods of synthesizing the organizational structure of a multi-agent system. The purpose of the work is to develop a method for synthesizing the organizational structure of centralized multi-agent systems with the possibility of its automatic adaptation in case of changes in environmental parameters or the task. Materials and methods. Biogeographic algorithm, reinforcement learning paradigm methods. Results. As a result, a method was developed for synthesizing the organizational structure of centralized multi-agent systems with the possibility of its automatic adaptation in the event of a change in the parameters of the environment or the task set, based on the use of a biogeographic algorithm and the reinforcement-learning paradigm. Conclusions. The developed method can find its practical application in the implementation of the following tasks: inspection (or pairing) of infrastructure objects by mobile robots; implementation of artificial intelligence in computer games. 

multi-agent system, organizational structure, synthesis, adaptation, biogeographical algorithm, reinforcement learning 

Dubenko Yu.V., Dyshkant E.E., Obozovskiy A.A. A method of the organizational structure synthesis of centralized multi-agent systems with a possibility of its automatic adaptation in the event of changing the environment parameters or the set task. Izvestiya vysshikh uchebnykh zavedeniy. Povolzhskiy region. Tekhnicheskie nauki = University proceedings. Volga region. Engineering sciences. 2023;(3):18–30. (In Russ.). doi: 10.21685/2072-3059-2023-3-2