Use of the Swarm Control Method to Maintain the Homeostasis of a Complex System Based on Interacting Information Objects

• Published in: Automatic documentation and mathematical linguistics Vol. 58; no. 5; pp. 310 - 319
• Main Author: Shvedenko, V. V.
• Format: Journal Article
• Language: English
• Published: Moscow Pleiades Publishing 01.10.2024; Springer Nature B.V
• Subjects: Algorithms; Classification; Complex systems; Complexity; Computer Science; Control methods; Control theory; Data collection; Efficiency; Homeostasis; Information Processes; Information Storage and Retrieval; Information systems; Invariants; Trees; homeostasis; swarm control; complex systems; invariant information structures
• ISSN: 0005-1055; 1934-8371
• DOI: 10.3103/S0005105524700262

This paper adopts a method of homeostatic support of a complex system using a swarm algorithms. It is proposed to use information objects that are represented in the form of invariant structures as swarm agents. This provides the possibility of classifying information objects by one or a number of homogeneous properties, as well as applied methods of data collection and processing. This approach allows the grouping of objects of any nature into a swarm structure. The invariant structure of information objects also provides the possibility of conversion of stored data without losses and distortions into different services of information systems. The system representation of swarm management of the homeostasis of complex systems by means of interaction of different swarm groups that differ in terms of behavioral models is given in accordance with the given target reference points. Classification of swarm groups is considered. The description of invariant swarm structures is given.