S.V. Matseevich1, A.K. Usacheva2, A.S. Zakharov3

1–3 Financial University under the Government of the Russian Federation (Moscow, Russia)
1 cvmac@mail.ru; 3 zakharov.as17@physics.msu.ru;

An increase in the number of satellites in near-Earth space leads to an increase in the information processed by radar stations. At the same time, integration and decision-making based on the results of information processing lies with the dispatchers on duty. In the interests of reducing the level of cognitive load affecting operators, it is proposed to formalize a method for optimizing the actions of an operator of a space monitoring radar station based on a graphical representation. The analysis of the application of artificial intelligence methods, in particular machine learning and neural networks, in decision support systems is carried out. For the analysis of textual regulatory information, the large open source BLOOM language model has been selected, which makes it possible to form a graph of the sequence of actions. To analyze and optimize the graph, an original methodology and algorithm for optimizing the sequence of operator actions have been developed, which makes it possible to increase the efficiency of his work by improving decision support methods.

Matseevich S.V., Usacheva A.K., Zakharov A.S. A method for optimizing the actions of an operator of a space monitoring radar station based on graph representation. Neurocomputers. 2025. V. 27. № 6. P. 77−87. DOI: 10.18127/j19997493-202506-08 (in Russian).

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