Year: 2026
Type: article
Abstract: Multilevel digital control systems are characterized by high structural complexity, dynamic behavior, and heterogene-ous decision-making loops. Existing approaches demonstrate insufficient formalization of decision alignment across system levels under conditions of uncertainty. The aim of this study is to develop a formalized three-level control archi-tecture based on cognitive-semantic integration. The study employs systems analysis, cognitive modeling, ontological design, and hybrid artificial intelligence technologies. An architectural model is proposed that integrates semantic, cognitive, and computational levels within a unified control loop, where the computational level is treated as a subordinate operational mechanism for implementing semantic and cognitive structures. It is demonstrated that the proposed architecture ensures alignment of managerial decisions, reduces conflicts between control levels, and improves system adaptability. The novelty of the study lies in the formalization of the principles of interlevel coordination and self-learning in multilevel control systems. The practical significance of the work is associated with the potential application of the proposed architecture in the development of intelligent platforms and decision-support systems.
Source: Ontology of Designing
Authors: A.N. Averkin, V.N. Dobrynin, A.A. Milovidova
Institution: Dubna State University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7166315460