ASA-SimaaS: Advancing Digital Transformation through Simulation Services in the Brazilian Air Force

Authors

DOI:

https://doi.org/10.55972/spectrum.v26i1.419

Keywords:

Simulation as a Service, Military Decision Support, Cloud-based Simulation, Digital Transformation, Autonomous Defense Tools

Abstract

This work explores the use of military simulations to predict and evaluate the outcomes of potential scenarios. It highlights the evolution of these simulations and the increased capabilities driven by advancements in artificial intelligence. Also, it discusses the various applications of military simulations, such as developing tactics and employment doctrines, training decision-makers, evaluating new acquisitions, and developing new technologies. The paper focuses on the Brazilian Air Force's efforts to create its own simulation tool, the Aerospace Simulation Environment (Ambiente de Simulação Aeroespacial — ASA in Portuguese), and how this cloud-based service, called ASA Simulation as a Service (ASA-SimaaS), can provide greater autonomy and cost-efficiency for the military force. The main contribution of this work is to present the ASA-SimaaS solution as a means of empowering digital transformation in defense scenarios, fostering a partnership network, and improving the military's simulation capabilities and competitiveness.

References

S. Biddle, “Victory misunderstood: What the Gulf War tells us about the future of conflict,” International Security, vol. 21, no. 2, pp. 139–179, 1996.

S. Biddle, Military Power: Explaining Victory and Defeat in Modern Battle. Princeton: Princeton University Press, 2004. [Online]. Available: https://doi.org/10.1515/9781400837823

A. F. Krepinevich, “Cavalry to computer: The pattern of military revolutions,” The National Interest, no. 37, pp. 30–42, 1994.

P. K. Davis and P. Bracken, “Artificial intelligence for wargaming and modeling,” The Journal of Defense Modeling and Simulation, 2022. [Online]. Available: https://doi.org/10.1177/15485129211073126

A. N. Costa, J. P. A. Dantas, E. Scukins, F. L. L. Medeiros, and P. Ögren, “Simulation and machine learning in beyond visual range air combat: A survey,” IEEE Access, 2025, pp. 1–1.

J. W. Bae, J. H. Kim, I.-C. Moon, and T. G. Kim, “Accelerated simulation of hierarchical military operations with tabulation technique,” Journal of Simulation, vol. 10, no. 1, pp. 36–49, 2016.

M. S. Sumile, “Collaborative modeling and tailored simulation for course of action validation,” in Proc. Military Modeling & Simulation Symposium, 2013, pp. 1–11.

C. Christensen and J. Salmon, “An agent-based modeling approach for simulating the impact of small unmanned aircraft systems on future battlefields,” The Journal of Defense Modeling and Simulation, vol. 19, no. 3, pp. 481–500, 2022.

P. J. Schwartz, D. V. O’Neill, M. E. Bentz, A. Brown, B. S. Doyle, O. C. Liepa, R. Lawrence, and R. D. Hull, “AI-enabled wargaming in the military decision making process,” in Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II, vol. 11413. SPIE, 2020, pp. 118–134.

G. Yuan, L. Hu, and T. Yongliang, “Inverse design of mission success space for combat aircraft contribution evaluation,” Chinese Journal of Aeronautics, vol. 33, no. 8, pp. 2189–2203, 2020.

V. Mittal and A. Davidson, “Combining wargaming with modeling and simulation to project future military technology requirements,” IEEE Transactions on Engineering Management, vol. 68, no. 4, pp. 1195–1207, 2020.

K. Lee, G. Lee, and L. Rabelo, “A systematic review of the multi-resolution modeling (MRM) for integration of live, virtual, and constructive systems,” Information, vol. 11, no. 10, p. 480, 2020.

J. P. A. Dantas, A. N. Costa, V. C. F. Gomes, A. R. Kuroswiski, F. L. L. Medeiros, and D. Geraldo, “ASA: A simulation environment for evaluating military operational scenarios,” 2022. [Online]. Available: https://arxiv.org/abs/2207.12084

NATO, “M&S as a service. Allied framework for modelling and simulation as a service (MSaaS),” [Online]. Available: https://nmsg.sto.nato.int/themes/msaas, accessed: May 3, 2023.

N. K. Jaiswal, Military Operations Research: Quantitative Decision Making. Springer Science & Business Media, 2012, vol. 5.

D. S. Hartley III, “Verification and validation in military simulations,” in Proc. 29th Conf. Winter Simulation, 1997, pp. 925–932.

I. M. Junior, A. V. Rocha, E. B. Mota, and O. M. Quintella, Gestão da Qualidade e Processos. Editora FGV, 2021.

J. P. A. Dantas, S. R. Silva, V. C. F. Gomes, A. N. Costa, A. R. Samersla, D. Geraldo, M. R. O. A. Maximo, and T. Yoneyama, “AsaPy: A Python library for aerospace simulation analysis,” in Proc. 38th ACM SIGSIM Conf. Principles of Advanced Discrete Simulation (SIGSIM-PADS’24). New York, NY, USA: ACM, 2024, pp. 15–24. [Online]. Available: https://doi.org/10.1145/3615979.3656063

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Published

2025-09-23

How to Cite

[1]
J. Dantas, D. Geraldo, A. Costa, M. Maximo, and T. Yoneyama, “ASA-SimaaS: Advancing Digital Transformation through Simulation Services in the Brazilian Air Force”, Spectrum, vol. 26, no. 1, pp. 1–7, Sep. 2025.