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

• Published in: Известия высших учебных заведений. Поволжский регион:Технические науки no. 3
• Main Authors: Dubenko, Yu.V., Dyshkant, E.E., Obozovskiy, A.A.
• Format: Journal Article
• Language: English
• Published: Penza State University Publishing House 01.12.2023
• Subjects: adaptation; biogeographical algorithm; multi-agent system; organizational structure; reinforcement learning; synthesis
• ISSN: 2072-3059
• DOI: 10.21685/2072-3059-2023-3-2

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.