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DeepSeek

Chinese university unveils new DeepSeek-based simulated military scenario generator

By Advanced AI EditorMay 15, 2025No Comments2 Mins Read
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A research team led by Professor Fu Yanfang from the School of Computer Science and Engineering, Xi’an Technological University, has recently achieved automatic generation of simulated military scenarios using the DeepSeek artificial intelligence (AI) large model, the Global Times learnt from the research team on Thursday.

While human commanders take 48 hours to plan simulated military scenarios conventionally, AI can reconstruct 10,000 possibilities in just 48 seconds. AI has become a producer of combat strategies on various operational environments, troop deployments, and event logic. It is not just an improvement in efficiency, but a fundamental subversion of conventional manually generated scenarios, according to the release by the research team.

The significance of this research lies in upgrading military simulation from a “pre-programmed rule system” to an “autonomously evolving intelligent agent,” providing a digital testing ground for future competitive confrontations through virtual-real interaction, Fu, the research team leader, told the Global Times on Thursday. 

Modern warfare is rapidly evolving toward intelligentization, unmanned operations, distributed systems, and multi-domain integration. The core aspect of combat simulation is military scenarios, which directly affect the effectiveness, credibility, and practical value of the simulation, according to the release.

The essence of military scenarios is to “approach reality in a virtual environment.” The difficulty arises from the complexity of warfare itself and the limitations of human cognition. Not only do personnel need a cross-disciplinary knowledge base, but they must also possess systems thinking, dynamic adaptability, and practical experience, according to the release. 

The DeepSeek large model technology has a significant advantage in its ability to deconstruct and reconstruct complex battlefield situations through training on massive amounts of data. It leverages its powerful pattern recognition capabilities to build a multidimensional battlefield knowledge graph, according to the release.

The large model and combat simulated scenarios essentially establish a closed-loop system of “data-driven – intelligent simulation – plan evolution,” which is reshaping the paradigm and pathways of future warfare design, said the release.

 



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