employee
UDC 51-77
UDC 65.012
This research proposes a method employing an ensemble of three specialized AI agents for simulation modeling and analysis of strategic decisions. The model enhances the classic "Pro & Contra" variation of the "Red and Blue Teams" methodology. In this framework, the "red" (offensive) and "blue" (defensive) teams are each represented by a dedicated AI agent, while a "purple" agent is utilized directly by the operator for scenario modeling and the generation of non-standard conditions. The role of the human operator is formalized as that of a supreme arbiter, tasked with defining objective functions and making the final decision based on an analysis of multi-scenario modeling outcomes. The research includes an analysis of existing artificial intelligence models. It outlines the operating principles of models used for creating deepfakes, synthetic images, and generative texts. The consequences of AI model errors are examined. Potential risks are presented along with forecasts of the decisions likely to be implemented in response to these risks. The work proves the feasibility of using AI agents as tools to assist managers in modeling development scenarios. It presents a conceptual method for forecasting and conducting head-to-head simulation games for strategic decision-making. The aim of the research is to develop an effective managerial decision-making method utilizing AI agents.
strategic decision-making methods, «Pro&Contra», AI in management methods, forecasting in economics, innovations
1. Makarenko, S. I. Protivovozdushnaya oborona strany ot udarov bespilotnyh letatel'nyh apparatov i krylatyh raket: novye ugrozy, problemnye voprosy, tehniko-ekonomicheskiy analiz variantov arhitektury / S. I. Makarenko, A. V. Starostin // Sistemy upravleniya, svyazi i bezopasnosti. – 2024. – № 2. – S. 86–148. – DOI:https://doi.org/10.24412/2410-9916-2024-2-086-148.
2. Plett, V. Informacionnaya rabota strategicheskoy razvedki. Osnovnye principy / V. Plett. – Moskva : Izd-vo inostr. lit., 1958. – 238 s.
3. Bennett B. U. Rol' avtomatizirovannyh voennyh igr v strategicheskom analize (The Role of Automated War Gaming in Strategic Analysis) [Elektronnyy resurs] / B. U. Bennett, P. K. Devis ; The RAND Corporation. – Santa-Monika (Kaliforniya) : The RAND Corporation, 1984. – Dekabr'. – 22 s. – (The Rand Paper Series;P-7053). - Rezhim dostupa: https://www.rand.org/content/dam/rand/pubs/papers/2008/P7053.pdf (data obrascheniya: 02.09.2025)].
4. Matheny, J. Artificial Intelligence: Challenges and Opportunities for the Department of Defense : technical report / J. Matheny ; RAND Corp. – Santa Monica (Calif.) : RAND Corp., 2023. – 5 p. – Accession Number: AD1199476. – Distribution Statement: Approved for Public Release. – DOI: https://doi.org/10.7249/AD1199476.
5. Helmus T. C. Artificial Intelligence, Deepfakes, and Disinformation: A Primer / T. C. Helmus. - Santa Monica, CA : RAND Corporation, 2022. - 24 p. - Text : electronic // RAND Corporation. - URL: https://www.rand.org/pubs/perspectives/PEA1043-1.html.
6. Helmus, T. K. Iskusstvennyy intellekt, dipfeyki i dezinformaciya: vvedenie [Elektronnyy resurs]: analiticheskiy obzor / T. K. Helmus; RAND Corporation. - Santa-Monika, Kaliforniya : RAND Corporation, 2022. - Iyul'. - 24 s. - Rezhim dostupa: https://www.rand.org/pubs/perspectives/PEA1043-1.html (data obrascheniya: 22.10.2025)
7. Dudley , Homer. 1940 . “ The carrier nature of speech.” Bell System Technical Journal 19: 495 -515.].
8. Aubakirova, M., Atallah, A., Clark, C., Summerville, J., & Midha, A. (2025, December). State of AI: An Empirical 100 Trillion Token Study with OpenRouter [Report]. OpenRouter Inc.; a16z (Andreessen Horowitz). https://openrouter.ai/state-of-ai
9. The state of AI in 2023: Generative AI’s breakout year [Elektronnyy resurs] // McKinsey & Company. – URL: https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year (data obrascheniya: 25.05.2025).
10. Vol'fram, S. Kak ustroen ChatGPT?: polnoe pogruzhenie v principy raboty i spektr vozmozhnostey samoy izvestnoy neyroseti v mire / S. Vol'fram ; per. s angl. E. Bykova ; red. A. Zdorov. – Moskva : Mann, Ivanov i Ferber, 2024. – 190 s. : il., tabl. – (Cifrovye tehnologii). – Per. izd.: What is ChatGPT doing... and why does it work?. – ISBN 978-5-00214-604-8.
11. Vianny, M. M. Private AI: An Overview / M. M. Vianny [et al.] // AI-Driven Breakthroughs in Antimicrobial Resistance. – 2025. – S. 299–324.
12. Jackson B. A., Frelinger D. R. Valuing and Assessing Prevention and Preparedness for Potential Artificial Intelligence Disasters: Thinking Rationally About Artificial Intelligence-Caused Industrial Accidents, “9/11s,” Extinction Events, and Other Incidents. Santa Monica, CA: RAND Corporation, 2025. 46 p. URL: https://www.rand.org/t/RRA4219-1
13. Brosofske, K. D. A review of methods for mapping and prediction of inventory attributes for operational forest management / K. D. Brosofske [et al.] // Forest Science. – 2014. – Vol. 60, № 4. – P. 733–756.
14. Ryagin, Yu. I. Ty - analitik. Zaglyanut' v buduschee, izuchaya mozaiku proshlogo: sharlatanstvo, intuiciya ili nauka? : uchebnoe posobie / Yu. I. Ryagin ; M-vo obrazovaniya i nauki Ros. Federacii, Ural. feder. un-t im. pervogo Prezidenta Rossii B. N. El'cina ; nauch. red. N. I. Razikova. – Ekaterinburg : Izd-vo Ural. un-ta, 2010. – 226 s. – ISBN 978-5-321-01748-7.
15. Griswold, W. The devil's techniques: Cultural legitimation and social change / W. Griswold // American Sociological Review. – 1983. – P. 668–680.
16. Jandhyala, R. Delphi, non-RAND modified Delphi, RAND/UCLA appropriateness method and a novel group awareness and consensus methodology for consensus measurement: a systematic literature review / R. Jandhyala // Current Medical Research and Opinion. – 2020. – Vol. 36, № 11. – P. 1873–1887.
17. Veerasamy, N. High-level methodology for carrying out combined red and blue teams / N. Veerasamy // 2009 Second International Conference on Computer and Electrical Engineering : proceedings : Vol. 1. – IEEE, 2009. – P. 416–420.
18. Wilkinson, S. Focus group methodology: a review / S. Wilkinson // International journal of social research methodology. – 1998. – Vol. 1, № 3. – P. 181–203.
19. Bogomolova, V. G. SWOT-analiz: teoriya i praktika primeneniya [Elektronnyy resurs] / V. G. Bogomolova // Ekonomicheskiy analiz: teoriya i praktika. – 2004. – № 17. – URL: https://cyberleninka.ru/article/n/swot-analiz-teoriya-i-praktika-primeneniya (data obrascheniya: 11.05.2025).
20. Keček, D. Implementation Of Organizational Changes According To The Mckinsey 7S Model / D. Keček, D. Vuković, D. Balić // Journal of pharmaceutical negative results. – 2023. – Vol. 14, № 4.
21. Auger, P. Hawk-dove game and competition dynamics / P. Auger, R. Benítez de La Parra, E. Sánchez // Mathematical and computer modelling. – 1998. – Vol. 27, № 4. – P. 89–99.
22. Wilson, C. Brainstorming and beyond: a user-centered design method / C. Wilson. – Waltham, MA : Newnes, 2013.
23. SIGMA - 67 FINAL REPORT / Joint War Games Agency, Joint Chiefs of Staff. – 1967. – ISBN 1287044530, 9781287044536.
