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AI-Driven Wargaming

Our Contribution

Wargaming has long been a vital method for understanding human decision-making in complex, uncertain environments by harnessing the power of experiential learning. While traditional wargames offer deep insights into how decisions play out under pressure, their dependence on expert facilitators and labor-intensive design limits their scalability and speed. That’s why APL is designing a future of wargaming that enhances human judgement.

Generative Wargaming (GenWar) is a next-generation capability that integrates generative artificial intelligence, modeling and simulation (M&S), and human expertise. GenWar allows us to build and run wargames in days instead of months, analyze dozens of alternative futures at scale, and focus human attention on the scenarios that most demand thoughtful deliberation.

APL’s GenWar capability integrates large language models (LLMs) with the Advanced Framework for Simulation, Integration, and Modeling (AFSIM)—making high-fidelity simulations accessible to users through natural language interaction. This pairing enables rapid ideation and traceable decision modeling without requiring deep technical knowledge of M&S tools. Analysts, planners, and even novice users can now explore a wide array of plausible courses of action—each supported by AI-informed dialogue and physics-based adjudication—unlocking deeper postgame analysis and a broader set of strategic insights than ever before.

Senior leaders in the Department of Defense have been seeking something like this for more than a decade, and I think we are finally at the point where the demand signal and the technology are in alignment. Pair that with an outstanding team here at APL and I think we have a chance to change the very nature of wargaming in the national security community.

Andrew Mara Department Head, National Security Analysis
Andrew Mara

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