Informatics and Applications
2026, Volume 20, Issue 3, pp 96-103MODELING AUTOMATIC MULTIASPECT PROBLEM IDENTIFICATION IN HYBRID INTELLIGENT MULTIAGENT SYSTEMS
- S. V. Listopad
Abstract
The article develops a conceptual framework for the multiaspect identification of problem structures with the aim of constructing automated problem-solving methods based on hybrid intelligent multiagent systems.The topic is relevant due to the weak formalization, heterogeneity, and complexity of practical problems, which require significant effort from developers of artificial intelligence systems. The paper summarizes the most well- known bases for problem decomposition, demonstrates the need for their combined application, and proposes a formalized model for automatic multiaspect problem identification, ensuring the selection of decomposition bases in accordance with the types of uncertainty characteristic of the task.
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[+] About this article
Title
MODELING AUTOMATIC MULTIASPECT PROBLEM IDENTIFICATION IN HYBRID INTELLIGENT MULTIAGENT SYSTEMSJournal
Informatics and Applications2026, Volume 20, Issue 3, pp 96-103
Cover Date
2026-30-09DOI
10.14357/19922264260309Print ISSN
1992-2264Publisher
Institute of Informatics Problems, Russian Academy of SciencesAdditional Links
Key words
problem; conceptual model; decomposition; reduction; team of specialists; hybrid intelligent multiagent systemAuthors
S. V. Listopad
Author Affiliations
Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation