Author page: Ageev A.I.

Key trends in the development of artificial intelligence in the global economy

DOI: 10.33917/mic-4.123.2025.5-18

The article considers key factors determining the development of artificial intelligence in the global economy, including the likelihood of artificial intelligence dominance over humanity in the future, key aspects of artificial intelligence development with an emphasis on neural networks, possible prospects for the development of artificial intelligence until 2070, prospects for possible existential risks of artificial intelligence, as well as the risks of a cyber conflict. To study the problem, a dialogue with artificial intelligence was used – with the ChatGPT neural network from OpenAi. It is concluded that the future of artificial intelligence development in the global economy remains uncertain and depends on many factors, including technological advances and social changes. An unsolved problem is the establishment of a harmonious regulatory mechanism for relations between humans and artificial intelligence, taking into account its intensive development and implementation in various control systems of the global economy. Important tasks for humanity are to create ethical standards for the use of artificial intelligence and develop effective strategies for managing these technologies in order to minimize risks and maximize benefits from their implementation.

References: 

1. Ageev A.I., Grigoriev V.V., Loginov E.L. Quantum simulators as a tool for observability of a digital supersystem with a significant component of unpredictable behavior of its elements. Microeconomics. 2024;5:5-13.

2. Ageev A.I., Ivanova O.D., Loshchinin A.A. Technology of information space of data and improvement of public administration. Economic strategies. 2023;25(6 (192)):62-67.

3. Ageev A.I., Zolotareva O.A., Zolotarev V.A. Russia in the global world of artificial intelligence: assessment by world rankings. Economic strategies. 2022;24(2 (182)):20-31.

4. Loginov E.L. Interception of control of complex organizational systems in the context of blurring boundaries between physical, cognitive and digital spaces of activity and control environments. Economy: Theory and Practice, 2024;1(73):3-10.

5. Bahtizin A.R., Soldatov A.I. Using artificial intelligence to optimize intermodal networking of organizational agents within the digital economy. Journal of Physics: Conference Series, 2019, 12042.

6. Grabchak E.P. Ensuring observability and controllability of complex technical systems in difficult and irregular situations when commands with a large distortion component are received. Lecture Notes in Electrical Engineering, 2021, Vol. 729 LNEE, pp. 624-631.

7. Grigoriev V.V., Balandin V.S., Shkuta A.A., Boyko P.A. The use of electronic semantization of the cognitive activity manifestations with the aim of detection of intentions of the group of people leading to the destabilization of the digital super system. IOP Conference Series: Materials Science and Engineering. 1. «1st International Conference on Innovative Informational and Engineering Technologies», 2020, IIET 2020, 012002.

Modeling the processes of ensuring the resilience of state organizational systems to attempts to seize power by an identified and unidentified enemy

DOI: 10.33917/mic-3.122.2025.5-14

The article considers the problems of counteracting the risks of initiated loss of controllability of state organizational systems in the context of attempts to seize power by an identified and unidentified enemy. A set of indicators describing the system under consideration is analyzed, and the relationships between these indicators are established.

References: 

1. Abramov V.I., Loginov E.L. Agent-based approaches to the analysis and forecasting of political sentiment in society and the construction of mechanisms for adjusting positive and negative reactions to socio-political situations. Russia in the 21st century: global challenges and development prospects: Proceedings of the Seventh International Forum, Moscow, December 20–21, 2018. Moscow: IPR RAS, 2018. pp. 373-376.

2. Ageev A.I., Grabchak E.P., Loginov E.L. Use of artificial intelligence in the implementation of troop command and control of civilian facilities as a single hybrid battlefield. Neurocomputers and their application: Abstracts of the XX All-Russian Scientific Conference, Moscow, March 22, 2022. Moscow: MGPPU, 2022. pp. 31-33.

3. Ageev A.I., Ivanova O.D., Loshchinin A.A. Technology of the information space of data and improvement of public administration. Economic strategies. 2023;25(6 (192)):62-67.

4. Ageev A.I., Loginov E.L., Raikov A.N. Information systems for emergency management. Economic strategies. 2019;21(2(160)):20-29.

5. Grigoriev V.V., Loginov E.L. Strategic operations: maintaining the economic basis for the stability of the political regime of the Russian Federation in the context of international sanctions. Problems of Improving the Efficiency of Scientific Work in the Military-Industrial Complex of Russia: Proceedings of the VII All-Russian Scientific and Practical Conference, Znamensk, April 11-12, 2024. Astrakhan: Astrakhan State University named after V.N. Tatishchev, 2024. pp. 204-205.

6. Grigoriev V.V., Loginov E.L., Shkuta A.A. Development of New Intelligent Information and Analytical Services Using Factor Analysis and Clustering to Identify Transactions with Signs of Participation in the Financing of Terrorism. Bulletin of the Central Economics and Mathematics Institute. 2019;2:16.

7. Loginov E.L. Using Big Data Technologies to Counter Mass Riots in Conditions of Lack of Information and Uncertainty of the Situation Development. Artificial Intelligence (Big Data) in the Service of the Police: Collection of Articles from the International Scientific and Practical Conference, Moscow, November 28, 2019. Moscow: Academy of Management of the Ministry of Internal Affairs of the Russian Federation, 2020. pp. 145-150.

8. Loginov E.L., Matveev A.G., Shkuta A.A. Determination of Parameters of Localized States of Implicit Groups with Their Own Component of Active Behavior That Does Not Coincide with the Vector of Actions of the State Supersystem. Artificial Societies. 2019;14(1):5.

9. Loginov E.L. Interception of Control over Complex Organizational Systems in the Context of Blurring Boundaries between Physical, Cognitive, and Digital Activity Spaces and Management Environments. Economy: Theory and Practice. 2024; (1(73)):3-10.

Sustainability of the economic supersystem of Russia and Belarus under nuclear attack

DOI: 10.33917/mic-2.121.2025.5-13

Approaches to ensuring the sustainability of the economic supersystem of Russia and Belarus in the event of a nuclear attack are formulated. The technology under consideration is proposed as an integral part of the infrastructural segment of the economic supersystem for work in the context of implementing complex special projects (operations) with the adoption of justified management decisions that fit into the boundaries of trust between the command center and the operational zone, focused on the priorities of the strategy for conducting the SVO.

References:

1. Ageev A.I., Loginov E.L. The world community in conditions of supercritical bifurcation. Management of complex organizational and technical systems in conditions of supercritical situations: Proceedings of the international scientific and practical conference, Moscow, April 21-22, 2022. Moscow: Institute of Economic Strategies, 2022. pp. 9-12.

2. Ageev A.I. The role of sanctions, conflicts and special operations: reflections on the future. Part 1. Scientific Bulletin of the defense-industrial complex of Russia. 2023;4:66-74.

3. Ageev A.I., Grabchak E.P., Loginov E.L. Russia in a supercritical situation: managing the restoration of life support functions to overcome the consequences of a natural macrodisaster. Economic strategies. 2021;23(5 (179)):28-35.

4. Makarov V.L., Ageev A.I., Bakhtizin A.R., Grabchak E.P., Loginov E.L. Modeling the Consequences of a Nuclear Strike. Economic Strategies. 2022;24(4 (184)):6-16.

5. Grabchak E.P., Loginov E.L. New Possibilities of Electromagnetic Pulse Attacks on Critical Infrastructure Facilities. Transformation of Modern Warfare: Proceedings of the III All-Russian Scientific Conference, Omsk, February 16, 2024. Omsk: Military Academy of Logistics named after General of the Army A.V. Khrulev, 2024. pp. 108-112.

6. Ageev A.I., Loginov E.L. New Great War: Chronicles of a Well-Forgotten Future. Economic Strategies. 2014;16(6-7(122-123)):16-33.

7. Ageev A.I., Loginov E.L. Strategic Predetermination of Special Military Operations in the World Supersystem. Economic Strategies. 2023;25(4(190)):6-19.

8. Ageev A.I., Grabchak E.P., Loginov E.L. Use of Artificial Intelligence in the Implementation of Troop Command and Management of Civilian Facilities as a Single Hybrid Battlefield. Neurocomputers and Their Application: Abstracts of the XX All-Russian Scientific Conference, Moscow, March 22, 2022. Moscow: MGPPU, 2022. pp. 31-33.

9. Loginov E.L., Grabchak E.P., Epishkin I.I., Derkach A.K. Using quantum computing with the formation of a single computational space of ultra-large dimensions in the sphere of supplies of fuel and energy resources in the context of special period situations. Artificial societies. 2024;19(2).

10. Ageev A.I., Grabchak E.P., Loginov E.L. Using supercomputer technologies to manage the work of ultra-large organizational systems in the implementation of complex special projects (operations). Microeconomics. 2024;1:5-10.

11. Makarov V.L., Bakhtizin A.R., Loginov E.L. Application of Economic and Mathematical Methods and Models of Optimal Planning in the Digital Economy of the Future (Central Economics and Mathematics Institute of the USSR Academy of Sciences and Central Economics and Mathematics Institute of the Russian Academy of Sciences: Prognostic Interpretation and Development of the Scientific Heritage of Nobel Laureates L.V. Kantorovich and V.V. Leontiev). Moscow: Central Economics and Mathematics Institute of the Russian Academy of Sciences, 2022. 248 p.

Methods of International scientific-technical reconnaissance based on open sources

DOI: 10.33917/mic-1.120.2025.14-17

Development of the universe of Internet demonstrates expansion of the possibility to collect and analyze information about military, special and other similar developments obtained from absolutely open sources. Authors of the present article formulate a methodology for building logical chains and identifying connections between various facts during scientific and technical reconnaissance based on open sources.

References:

1. Ageev A.I., Averyanov M.A., Evtushenko S.N., Kochetova E.Yu., Sivakov R.L. Digital transformation of national security in the context of global hybrid threats. Economic strategies. 2021;23(4 (178)):60-69.

2. Ageev A.I., Grabchak E.P., Loginov E.L. Use of artificial intelligence in the implementation of command and control of troops and civilian facilities as a single hybrid battlefield. Neurocomputers and their application: Abstracts of the XX All-Russian scientific conference. 2022. Moscow: MGPPU. pp. 31-33.

3. Ageev A.I. The role of sanctions, conflicts and special operations: reflections on the future. Part 1. Scientific Bulletin of the Defense Industrial Complex of Russia. 2023;4:66-74.

4. Ageev A.I., Loginov E.L. Special military operation as a strategic technology for choosing the future of Russia and the world. Economic strategies. 2023;25(5 (191)):6-21.

5. Ageev A.I., Loginov E.L. Strategic predetermination of special military operations in the world supersystem. Economic strategies. 2023;25(4 (190)):6-19.

6. Ageev A.I. Economic espionage in the First World War. Humanities. Bulletin of the Financial University. 2017;7(4 (28)):52-61.

Quantum simulators as a tool for observability of a digital supersystem with a significant component of unpredictable behaviour of its elements

DOI: 10.33917/mic-5.118.2024.5-13

The article dwells on the problems of increasing stability of artificial societies consisting of organizational agents as elements of a digital supersystem with a significant component of unpredictable behaviour. The problems of supersystem observability are analyzed. It is proposed to unify information, telematic and computing services for creating a digital twin in order to support the transition of an individual from a cluster of unpredictable behaviour (aggressive behaviour) to a cluster with confirmed trust as a computing solution. Introduction of quantum computing allows us to obtain more substantiated assessments of productivity of the process of increasing the artificial societies’ sustainability based on the use of quantum simulators that allow, in difficult crisis conditions, to calculate all the optimization indicators for a large number of objects and resources in relation to the personalities of recipients (buyers) of information, each of whom is in a local uncertain and confusing choice of solutions for actions in a digital supersystem. The author substantiates direction of the imprinting vector of the reflexive matrices’ developed profiles depending on the different person’s satisfaction with life as a base point, from which one can start for artificially inducing the experience of reality in order to support transition of an individual from a cluster of unpredictable behaviour (aggressive) to a cluster with confirmed trust as a computing solution.

References:

1. Ageev A.I., Grabchak E.P., Loginov E.L. Using artificial intelligence in the implementation of troop command and control of civilian facilities as a single hybrid battlefield. Neurocomputers and their application: Abstracts of the XX All-Russian scientific conference, Moscow, March 22, 2022. Moscow: MGPPU, 2022. pp. 31–33.

2. Ageev A.I., Grabchak E.P., Loginov E.L. Using supercomputer technologies to manage the operation of super-large organizational systems in the implementation of complex special projects (operations). Microeconomics. 2024;1:5–10.

3. Defense Advanced Research Projects Agency • Budget Estimates FY 2024. URL: https://comptroller.defense.gov/Portals/45/Documents/defbudget/fy2024/budget_justification/pdfs/

4. Loginov E.L. Digital Technologies of Political Struggle: Neural Network Imperatives of Information Counteraction to Attempts to Intercept Control in the Socio-Political Environment. Moscow: «Rusains», 2024. 234 p.

5. Ageyev A.I., Loginov E.L. Neurocommunity – is it the Future of Humanity? Economic Strategies. 2022;24(5 (185)):42–51.

6. Grabchak E.P., Loginov E.L. Maintaining the Operation of an Integrated Complex of Civil and Special Structures Based on Digital Synchronization of Monitoring, Communication, Analytics and Control Functions. Problems of Complex Systems Security Management: Proceedings of the XXXI International Conference, Moscow, December 13, 2023. Moscow: V.A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, 2023. pp. 499–504.

Experience of military-civilian merger in the USA and China: new organizational and strategic engineering is needed in the Russian defence and civilian industries

DOI: 10.33917/mic-4.117.2024.5-17

In the United States and China, in conditions of preparing for a major war, there is an intensive restructuring of not only the armed forces, but also the industry that provides military needs. The key trend is the development and implementation of civil-military merger strategies. The Russian experience in conducting Special Military Operation, including an analysis of NATO’s problems with providing equipment and weapons to Russia’s real and potential military opponents and countering these processes by the Russian defence industry, has actualized the problem of developing a new approach to organizational and strategic engineering in the Russian defence and civil industries and scientific-technical sector.

References:

1. Ageev A.I., Loginov E.L. Russia in the new economic reality. Moscow, INES, 2016. 460 p.

2. Ageev A.I. Dynamics and structure of global risks. Civil defense strategy: problems and research. 2013;3(2(5)):7–8.

3. Ageev A.I., Bakhtizin A.R., Makarov V.L., Loginov E.L., Khabriev B.R. Economic Foundation of Victory: a Strategic Forecast for the Russian Economy Stability in the Face of Sanctions. Economic strategies. 2023;25(3(189)):6–15. DOI: https://doi.org/10.33917/es-3.189.2023.6-15

4. Ivanov S. US military innovation. Infrastructure and projects. Mirtesen, 2021, September 15. URL:  https://s30116489994.mirtesen.ru/blog/43322544035/Voennyie-innovatsii-SSHA-Infrastruktura-i-proektyi

5. Kokoshin A.A. Military reform in China in 2015–2020: defense and foreign policy aspects. Moscow, ISPI RAN, 2016. pp. 39.

6. Ageev A.I., Kapustyan S.G., Korobkin V.V. State and forecast expectations for the development of the global robotics market. Artificial Intelligence. Theory and Practice. 2023;3(3):50–58.

7. Grabchak E.P., Loginov E.L., Chinaliev V.U., Epishkin I.I. Management of the development of complex scientific and technical complexes based on intelligent digital platforms (implementation of the competencies of the USSR State Committee for Science and Technology in the digital economy). Moscow, Institute of Economic Strategies, 2023. 504 p.

8. Ageev A.I., Loginov E.L., Efremov D.N. The State committee for Scientific-Technical Policy: center of network concentration of Scientific-Technical Ties in Key Knowledge Areas for Integrated management in the Science and engineering field. Economic strategies. 2014;16(8(124)):12–21.

9. Grabchak E.P., Loginov E.L. Management of research, power engineering and electric power companies as elements of an integrated industrial technological complex: Instrument making in the 21st century – 2020. Integration of science, education and production: Sat. materials of the XVI All-Russian Scientific and Technical Conference. Izhevsk: Izhevsk State Technical University named after M.T. Kalashnikov, 2020. pp. 16–21.

10. Grabchak E.P., Loginov E.L. Formation of an integrated information environment for digital support of life cycle management processes of scientific and technical research and development in the Russian electric power industry: Modern information technologies. Theory and practice: Materials of the V All-Russian Scientific and Practical Conference. Cherepovets: Cherepovets State University, 2020. pp. 32–35.

Using supercomputer technologies to manage the operation of ultra-large organizational systems when implementing complex special projects (operations)

DOI: 10.33917/mic-1.114.2024.5-10

The article discusses the problems of studying the structural and functional variability of the work of a digital “twin” of an organizational agent in resource supply systems from the point of view of reliability and safety indicators when implementing complex special projects. It is proposed to integrate means of detection and generation of signals characterizing the technical condition of infrastructure facilities of the super resource supply system by online processing (analysis and interpretation) of technical, organizational and economic information using supercomputer technologies with the development of applied measures for configuring the correct operation of elements (agents).

References:

1. Ageev A.I., Averyanov M.A., Evtushenko S.N., Kochetova E.Yu., Sivakov R.L. Digital transformation of national security in the context of global hybrid threats. Economic strategies. 2021;23(4 (178)):60-69. (In Russ.).

2. Ageev A.I., Bakhtizin A.R., Makarov V.L., Loginov E.L., Khabriev B.R. The economic foundation of victory: a strategic forecast of the stability of the Russian economy in the conditions of sanctions attacks. Economic strategies. 2023;25(3 (189)):6-15. (In Russ.).

3. Ageev A.I., Grabchak E.P., Loginov E.L. The use of artificial intelligence in the implementation of command of troops and control of civilian objects as a single hybrid battlefield. Neurocomputers and their application. Abstracts of reports of the XX All-Russian Scientific Conference. M.: MGPPU, 2022. pp. 31-33. (In Russ.).

4. Ageev A.I., Grabchak E.P., Loginov E.L., Chinaliev V.U. Digital platform for managing scientific and technological development in the space of economic cooperation. Economic strategies. 2023;25(1(187)):56-69. (In Russ.).

5. Ageev A.I., Loginov E.L. World community in conditions of supercritical bifurcation. Management of complex organizational and technical systems in conditions of supercritical situations. Materials of the international scientific and practical conference. M.: INES, 2022. pp. 9-12. (In Russ.).

6. Ageev A.I., Loginov E.L. New big war: chronicles of a well-forgotten future. Economic strategies. 2014;16(6-7):16-33. (In Russ.).

7. Ageev A.I., Loginov E.L. Special military operation as a strategic technology for choosing the future of Russia and the world. Economic strategies. 2023;25(5 (191):6-21. (In Russ.).

8. Ageev A.I., Loginov E.L. Strategic predetermination of special military operations in the global supersystem. Economic strategies. 2023;25(4(190)):6-19. (In Russ.).

9. Ageev A.I., Loginov E.L. Strategic trends of constructed economic reality. Economic strategies. 2012;14(10(108)):6-15. (In Russ.).

10. Ageev A.I. Economic security in the context of discriminatory sanctions. Scientific session of NRNU MEPhI-2015. Abstracts of reports: in 3 volumes. resp. ed. HE. Golotyuk. M.: MEPhI, 2015. p. 164. (In Russ.).

11. Batyushkin S.A. Preparation and conduct of actions in local wars and armed conflicts. M.: Moscow; KNORUS, 2018. 438 p. (In Russ.).