Combat Environment Simulation Is Crucial for Future Conflicts
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Imagine knowing the future. Being able to predict what’s going to happen next. It feels that this concept is merely a dream, but in reality, this dream is underway. Modeling and simulation, data analytics, AI and machine learning, distributed systems, social dynamics and human behavior simulation are fast becoming the go-to tools, and their qualities could offer significant advantages for the battlespace of tomorrow.
According to army-technology.com, London-based technology provider Improbable has been working closely with the UK Ministry of Defense (MoD) since 2018 to explore the utility of synthetic environments (SEs) for tactical training and operational and strategic planning. At the core of this work is Skyral, a platform that supports an ecosystem of industry and academia enabling the fast construction of new SEs for almost any scenario using digital entities, algorithms, AI, historic and real-time data.
“Conflicts unfold at an unprecedented rate and things can change in days if not hours, the amount of data available is overwhelming in both volume and complexity. We need new tools to make sense of it all.” said Rob Solly, director of research partnerships for defense at Improbable. “Modeling and simulation have been successfully applied to understand the interactions between limited numbers of military systems (for example, ships, tanks and aircraft) for a long time, but the effect of human behavior on these interactions, and the reverse (the impact of military activity on civilian activity) has always been exceptionally hard to model.”
Solly continued to explain that “While AI and data science have been drivers of many recent advancements in digital technology, we see simulation as a third member of this set. All three disciplines depend on each other for progress. For example, the combination of increasing amounts of data, more capable data science techniques, and a range of machine learning techniques is offering opportunities to construct faster and more realistic simulations, able to combine observed real-life behavior with expert judgment.”
“Equally, simulations are playing a crucial role in training AI. These three disciplines also come together through digital twin technology and where AI and machine learning are used to dramatically accelerate scenario exploration, planning and optimization.” He stated.
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