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Adaptive Management of Multi-Agent Intelligent System: Algorithmic Aspect

https://doi.org/10.21122/2227-1031-2025-24-3-167-180

Abstract

In the process of constructing a multi-agent intelligent system, the stages of structural and functional decomposition of the system and the determination of its tasks, the allocation or formation of the necessary groups of agents, implementation of system administration procedures and operational control of the operability of all components of the system are considered, as a rule. In this regard, a comparison was carried out of various options for the structural construction of a multi-agent system, taking into account the flexibility of control, the possibilities for functional redundancy of its components and their reconfiguration, which made it possible to identify and recommend a tree-like network topology for widespread application. Objects of planning and monitoring the effectiveness of the actions of executive agents, as well as an object of planning and monitoring the effectiveness of the system's actions, have been introduced as nodes of the topology. It is shown that the organization of adaptive management requires a formalized representation in the objects and agents of the system of certain segments of the system topology, as well as the states of the external environment, planning authorities, system agents, channels for ensuring information and technical interaction and functional tasks. A rational method of such mapping is the construction by systems analysts and systems engineers of system composition logs, composition of topology segments, and agent operation logs in the form of logical-multiple relations. The specified relationships link various types of objects, agents, and tasks with attributes of system characteristics, parameters, and states of system operability. A fundamental possibility of determining a rational composition of relation domains that allows for functional expansion is presented. The algorithm for functioning of a multi-agent system is described, in which each cycle is based on the results of operational scanning of individual logs of the composition of agents and their functioning, as well as selection from the relations of tuples of the next tasks to ensure the subsequent solution of a specific instance of the task. With the help of special alerts in the circular transmission mode, self-synchronization and adaptive selection of work by system agents within each segment of the topology are ensured.

About the Authors

A. V. Gulay
Belarusian National Technical University
Belarus

Minsk, Republic of Belarus



V. M. Zaitsev
Belarusian National Technical University
Belarus

Minsk, Republic of Belarus



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For citations:


Gulay A.V., Zaitsev V.M. Adaptive Management of Multi-Agent Intelligent System: Algorithmic Aspect. Science & Technique. 2025;24(3):167-180. (In Russ.) https://doi.org/10.21122/2227-1031-2025-24-3-167-180

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