M.Y. Khramov1, E.S. Novikov2, B.M. Kovalev3, O.N. Andreeva4

1, 2, 4 JSC Concern Morinsis-Agat (Moscow, Russia)
2, 4 MIREA – Russian Technological University (Moscow, Russia)
2,3 MARP Morinformsystem (Moscow, Russia)
2 SAUTAM LLC (Moscow, Russia)
 

Problem setting. The US Department of Defense is currently developing new concepts and approaches to ensure asymmetric technological superiority in future conflicts with opposing states. The concepts focus on improving the combat efficiency and reliability of IWT systems, as well as reducing the costs associated with combat losses of IWT systems during modern and future conflicts. These concepts and approaches complement or even are alternative to the current US DoD programs for the development and acquisition of new IWT systems, traditionally focused on high-tech, multifunctional and expensive platforms, such as the F-35 aircraft, the B-21 bomber or the Ford class aircraft carrier.

Target – give a brief overview of the main provisions of this concept, as well as consider the advantages that can create complex network systems from functional mosaic elements, compared to "monolithic," multifunctional and expensive platforms used by opponents.

One of the promising concepts currently being explored by the DARPA Agency for Research Projects is the Mosaic warfare concept. It has been shown that the IWT mono-functional combat system can be assembled to perform a specific task from a set of small, fairly simple and cheap, interacting functional elements (mosaics), combined into a complex autonomous network system. It is noted that DARPA is studying the concept of Mosaic war-fare from various sides:

a) in basic research aimed at identifying areas where mosaic systems have advantages over traditional IWT systems;

b) develop a number of research projects aimed at solving specific problems related to the practical implementation of the Mosaic warfare concept in relation to conflicts with close opponents;

c) conducts a number of studies aimed at developing a new area of system engineering – system engineering for specific missions (Mission engineering).

Khramov M.Y., Novikov E.S., Kovalev B.M., Andreeva O.N. New trends in the development of complex high-tech systems – mosaic systems (based on the materials of foreign publications). Science Intensive Technologies. 2022. V. 23. № 2. P. 6−24. DOI: https://doi.org/10.18127/j19998465-202202-02 (in Russian)

1. National Security Strategy of the United States of America. December 2017.
2. US Interim National Security Strategic Guidance. 2021.
3. Summary of the National Defense Strategy the United States of America. 2018.
4. Providing for the Common Defense. The Assessment and Recommendations of the National Defense Strategy Commission. 2018.
5. Jorg Schimmelpfennig. F-35 O-Ring Production Functions versus Mosaic Warfare. Some Simple Mathematics. Air & Space Power Journal. Fall 2021. Р. 76–83.
6. Air Force Doctrine Volume 1, Air Force Basic Doctrine (Maxwell AFB, Montgomery, AL: Curtis E. LeMay Center for Doctrine Development and Education, February 27, 2015.
7. Mazzocchi F. Complexity in Biology: Exceeding the Limits of Reductionism and Detemiinism Using сomplexity Theory. European Molecular Biology- Organization. January 2008. V. 9. № 1. P. 10–14.
8. Prigozhin I., Stengers I. Poryadok iz haosa. Novyj dialog cheloveka s prirodoj. M.: Progress. 1986 (in Russian).
9. Estrada E. The Structure of Complex Networks: Theory and Applications. New York: Oxford University Press. 2011.
10. Bar-Yam. Yaneer. Dynamics of Complex Systems. Reading. Mass.: Perseus Books. 1997.
11. Holland J. H. Complexity: A Very. Short Introduction. Oxford: Oxford University Press. 2014.
12. Rickles D. Penelope Hawe. and Alan Shiell. A Simple Guide To Chaos and Complexity. Journal of Epidemiology. Community Health. November 2007. V. 61. № 11. P. 933–937.
13. Keitn L. Green. Complex Adaptive Systems in Military Analysis. IDA, 2011.
14. Clark B., Dan Patt, and Harrison Schramm. Mosaic Warfare Exploiting Artificial Intelligence and Autonomous Systems to Implement Decision-Centric Operations. Washington D.C.: Center for Strategic Budgetary Assessments. 2020.
15. Deptula D. A., Heather P. Lawrence Stutzriem, Gunzinger M. Restoring Americas Military Competitiveness: Mosaic Warfare. Arlington, Va.: Mitchell Institute for Aerospace Studies. September 2019.
16. Grana J., Lamb J., O'Donoughue N. A. The Benefits of Fractionation in Competitive Resource Allocation. Santa Monica, Calif.: RAND Corporation. 2020.
17. O'Donoughue N.A., McBirney S., Persons B., Distributed Kill Chains: Drawing Insights for Mosaic Warfare from the Immune System and from the Navy. RAND 2021.
18. Predd J.В., Schmid J., Bartels E.M., Drezner J.A., Wilson B., Wirth A.J., McLane L. Acquiring a Mosaic Force. RAND 2021.
19. Clark, Bryan, Dan Patt, Harrison Schramm. Mosaic Warfare Exploiting Artificial Intelligence and Autonomous Systems to Implement Decision-Centric Operations. Washington, D.C.: Center for Strategic Budgetary Assessments, 2020.
20. DOD. Robert Gold. Mission Engineering. 19-th Annual NDIA Systems Engineering Conference Springfield, VA. October 26, 2016.
21. Deptula D.A., Heather P., Lawrence Stutzriem, Gunzinger M., Restoring Americas Military Competitiveness: Mosaic Warfare. Arlington, Va.: Mitchell Institute for Aerospace Studies, September 2019.
22. Clark B., Dan Patt, Harrison Schramm. Mosaic Warfare Exploiting Artificial Intelligence and Autonomous Systems to Implement Decision-Centric Operations. Washington, D.C.: Center for Strategic Budgetary Assessments, 2020.
23. Osipov M.P. Vliyanie chislennosti srazhayushchihsya storon na ih poteri. Voennyj sbornik. Iyun' – oktyabr' 1915. № 6–10. SPb. (in Russian).
24. Lanchester F.W. Mathematics in Warfare, The World of Mathematics. J. Newman ed. 1956. V. 4. P. 2138–2157.
25. Jorg Schimmelpfennig. F-35 O-Ring Production Functions versus Mosaic Warfare. Some Simple Mathematics. ASPJ. Fall 2021.