Method for automatic reorganization of the structure of multi-agent systems, based on the application of the simulated hardening algorithm 

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 inplant electrical equipment and automation, Armavir Mechanical and Technological Institute (branch) of the Kuban State Technological University (127 Kirova street, 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 street, Krasnodar, Russia), E-mail: mr.bolduin@list.ru 

Background. The organizational structure of a multi-agent system includes many roles of agents, their horizontal and vertical connections, components that control their behavior, as well as rules for their functioning. The efficiency of a multi-agent system largely depends on the choice of organizational structure. During the operation of the MAS, situations are possible (for example, a significant change in environmental parameters) that require its reorganization to be performed automatically. However, existing solutions in this area have a number of significant disadvantages. The object of research is multi-agent systems. The subject of the research is methods for reorganizing the structure of a multi-agent system. The goal of the work is to develop a method for automatically reorganizing the structure of the MAS in a complex, partially observable, dynamic environment. Materials and methods. Simulated hardening algorithm, reinforcement learning paradigm methods. Results. As a result, a method was developed for automatic reorganization of the structure of multi-agent systems, initiated when environmental parameters change, based on the use of a simulated hardening algorithm and a reinforcement learning paradigm. Conclusions. The developed method can find its practical application in the implementation of the following tasks: inspection (or patrolling) of infrastructure facilities by mobile robots; implementation of artificial intelligence in computer games. 

multi-agent system, organizational structure, adaptation, simulated hardening algorithm, reinforcement learning 

Dubenko Yu.V., Dyshkant E.E., Obozovskiy A.A. Method for automatic reorganization of the structure of multi-agent systems, based on the application of the simulated hardening algorithm. Izvestiya vysshikh uchebnykh zavedeniy. Povolzhskiy region. Tekhnicheskie nauki = University proceedings. Volga region. Engineering sciences. 2024;(1):5–18. (In Russ.). doi: 10.21685/2072-3059-2024-1-1