ROLE MODELS OF AGENTS OF THE SYSTEM FOR MODELING THE PROCESS OF UPDATING ACADEMIC DISCIPLINES IN ACCORDANCE WITH THE REQUIREMENTS OF ENTERPRISES

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Oleg Ivanovich Fedyaev
Candidate of Technical Sciences, Associate Professor,
Federal State Budgetary Educational Institution "Donetsk National Technical University", Donetsk.
Research interests: artificial intelligence, neural networks, computer vision, multi-agent systems.

Meleshchenko Nikolay Vladimirovich
postgraduate student,
Federal State Budgetary Educational Institution "Donetsk National Technical University", Donetsk.
Research interests: artificial intelligence, machine learning, multi-agent systems.

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UDC 4.853
DOI 10.24412/2413-7383-12-25
Language: Russian
Annotation: The process of extracting new competencies from the texts of recommendations of enterprises to university graduates has been formalized. This will make it possible to update the curricula of the disciplines of the graduating department of the university in a timely manner, taking into account the requirements of the labor market. The task was solved by computer processing of the texts of recommendations in natural language using machine learning methods. The algorithm for its solution implements a special software agent with a BDI architecture in interaction with other agents that simulate the roles of enterprises and teachers based on the principle of limited rationality. Experimental studies of the developed algorithms and programs have been carried out.
Keywords:: university department, requirements of enterprises, academic programs of disciplines, knowledge extraction from text, machine learning, software agents.

Список литературы:
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Release: 1(36)'2025
Chapter: ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
How to quote: O. I. Fedyaev, N. V. Meleshchenko. ROLE MODELS OF AGENTS OF THE SYSTEM FOR MODELING THE PROCESS OF UPDATING ACADEMIC DISCIPLINES IN ACCORDANCE WITH THE REQUIREMENTS OF ENTERPRISES // Problems of artificial intelligence. 2025. №1.

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