UDC 614.8
UDC 004.8
This article is devoted to the pressing issue of optimizing personnel management during emergency response operations using modern information technologies. It proposes a concept and approaches to developing cognitive agents designed to support decision-making by emergency managers. The primary objective of the work is to develop a concept for an intelligent system capable of real-time assessment of the operational situation (scale, dynamics of emergency development, availability of resources), analyzing the actions of rescue teams (effectiveness, task completion, psychological state), and predicting further developments. Based on a comprehensive assessment, the cognitive agent will provide the emergency manager with substantiated recommendations for adjusting tasks, redistributing personnel and equipment, preventing critical situations, and minimizing risks to rescuers. The Petri net formalism is used to model the management process. The paper describes the architecture of the proposed system, the principles of agent adaptation to changing conditions, and the mechanisms for integration with existing force and resource management systems. The results obtained can significantly improve the efficiency and effectiveness of emergency response, as well as ensure a more rational use of human resources
likvidaciya chs, avariyno-spasatel'nye formirovanie, upravlencheskie resheniya, kognitivnye agenty, minimizaciya riskov, chelovecheskie resursy
1. Sergey Alekseevich Starostin Upravlencheskie resheniya v chrezvychaynyh situaciyah // Vestnik Universiteta imeni O.E. Kutafina. 2024. No5 (117). URL: https://cyberleninka.ru/article/n/upravlencheskie-resheniya-v-chrezvychaynyh-situatsiyah (data obrascheniya: 16.10.2025).
2. Amirov Nikolay Ascaturovich, Reva Yuriy Viktorovich TEORETIChESKIE ASPEKTY RAZRABOTKI I PRINYaTIYa UPRAVLENChESKIH REShENIY V USLOVIYaH ChREZVYChAYNYH SITUACIY // E-Scio. 2022. No5 (68). URL: https://cyberleninka.ru/article/n/teoreticheskie-aspekty-razrabotki-i-prinyatiya-upravlencheskih-resheniy-v-usloviyah-chrezvychaynyh-situatsiy (data obrascheniya: 16.10.2025).
3. Shkatova E.S., Starov V.N. Problemy upravleniya i nekotorye metody prinyatiya resheniy v chrezvychaynyh situaciyah na opasnyh ob'ektah // Problemy obespecheniya bezopasnosti pri likvidacii posledstviy chrezvychaynyh situaciy. 2014. No1. URL: https://cyberleninka.ru/article/n/problemy-upravleniya-i-nekotorye-metody-prinyatiya-resheniy-v-chrezvychaynyh-situatsiyah-na-opasnyh-obektah (data obrascheniya: 16.10.2025). EDN: https://elibrary.ru/VPSWBH
4. Rossiyskaya Federaciya. Zakony. Ob avariyno-spasatel'nyh sluzhbah i statuse spasateley ot 07.07.2025 No 151-FZ / Konsul'tantPlyus: sayt. - URL: https://www.consultant.ru/document/cons_doc_LAW_7746/ (data obrascheniya: 16.10.2025).
5. Horvath Galina, Kuti Raymund Zadachi rukovoditelya avariyno-spasatel'nyh rabot po likvidacii avariy pri perevozke opasnyh veschestv avtotransportom // Pozhary i ChS. 2017. No1. URL: https://cyberleninka.ru/article/n/zadachi-rukovoditelya-avariyno-spasatelnyh-rabot-po-likvidatsii-avariy-pri-perevozke-opasnyh-veschestv-avtotransportom (data obrascheniya: 16.10.2025).
6. Katinskaya E.S. Operativnyy shtab: pravovaya priroda organizacii deyatel'nosti i problemy funkcionirovaniya v usloviyah biologicheskoy ugrozy // Vestnik VGU. Seriya: Pravo. 2023. No2 (53). URL: https://cyberleninka.ru/article/n/operativnyy-shtab-pravovaya-priroda-organizatsii-deyatelnosti-i-problemy-funktsionirovaniya-v-usloviyah-biologicheskoy-ugrozy (data obrascheniya: 17.10.2025).
7. Ispol'zovanie NextGIS dlya razrabotki interaktivnyh veb-kart vodoistochnikov: podhody, vozmozhnosti i primery / G.Yu. Shamsudinov, V.V. Morozov, S.O. Ondar [i dr.] // Aktual'nye problemy bezopasnosti v tehnosfere. - 2025. - No 1(17). - S. 43-49. DOI:https://doi.org/10.34987/2712-9233.2025.27.16.006 EDN: https://elibrary.ru/LBBARY
8. Shamsudinov, G.Yu. Primenenie geoinformacionnyh tehnologiy v pozharnoy ohrane / G.Yu. Shamsudinov, V.Yu. Yarovoy, V.I. Speshilov // Informacionnye tehnologii v sfere RSChS i GO: Sbornik trudov sekcii No 12 HHXV Mezhdunarodnoy nauchno-prakticheskoy konferencii, Himki, 26 fevralya 2025 goda. - Himki: Federal'noe gosudarstvennoe byudzhetnoe voennoe obrazovatel'noe uchrezhdenie vysshego obrazovaniya "Akademiya grazhdanskoy zaschity Ministerstva Rossiyskoy Federacii po delam grazhdanskoy oborony, chrezvychaynym situaciyam i likvidacii posledstviy stihiynyh bedstviy imeni general-leytenanta D.I. Mihaylika", 2025. - S. 132-136. EDN: https://elibrary.ru/HPXCDZ
9. Ignatov Maksim Sergeevich Intellektual'nye sistemy podderzhki prinyatiya resheniya // Nauchno-tehnicheskiy vestnik informacionnyh tehnologiy, mehaniki i optiki. 2008. No46. URL: https://cyberleninka.ru/article/n/intellektualnye-sistemy-podderzhki-prinyatiya-resheniya (data obrascheniya: 17.10.2025).
10. Asaad R.R., Saeed V.A., Abdulhakim R.M. Smart Agent and it's effect on Artificial Intelligence: A Review Study //Icontech International Journal. - 2021. - T. 5. - No. 4. - S. 1-9. EDN: https://elibrary.ru/ALLNTT
11. Widad J. The Evolution of Autonomy: From Reactive AI to Agentic AI //The Power of Agentic AI: Redefining Human Life and Decision-Making: In Industry 6.0. - 2025. - S. 1-9.
12. Wojtusiak J., Warden T., Herzog O. Machine learning in agent-based stochastic simulation: Inferential theory and evaluation in transportation logistics //Computers & Mathematics with Applications. - 2012. - T. 64. - No. 12. - S. 3658-3665.
13. Zheng P. et al. Towards Self-X cognitive manufacturing network: An industrial knowledge graph-based multi-agent reinforcement learning approach //Journal of Manufacturing Systems. - 2021. - T. 61. - S. 16-26. EDN: https://elibrary.ru/AUPFEE



