Journal of System Simulation
Abstract
Abstract: Tactical wargaming simulation, as a crucial tool for combat analysis, simulation training, and equipment demonstration and test, has become a significant means for generating combat effectiveness. Integrating AI into simulation not only enhances simulation efficiency but also diminishes reliance on humans. To assist professionals engaged in tactical wargaming simulation in mastering AI application methods, fostering a systematic mindset, and understanding evolving trends, this paper provided a concise overview of the principles behind AI for science (AI4S). Subsequently, it conducted an analysis of AI4S's application effectiveness in tactical wargaming simulation, established an AI4S-driven wargaming simulation system, and elucidated its composition, relationships, and architecture. It centered on the scope and framework of application, with a case of AI4S-driven land wargaming deduction and command training presented.
Recommended Citation
Liu, Dayong; Guo, Qisheng; Dong, Zhiming; Qiu, Xuehuan; and Liu, Zhuoli
(2026)
"Research on System and Application Framework of Tactical Wargaming Simulation Driven by AI4S,"
Journal of System Simulation: Vol. 38:
Iss.
2, Article 11.
DOI: 10.16182/j.issn1004731x.joss.24-1039
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol38/iss2/11
First Page
387
Last Page
398
CLC
TP391.9
Recommended Citation
Liu Dayong, Guo Qisheng, Dong Zhiming, et al. Research on System and Application Framework of Tactical Wargaming Simulation Driven by AI4S[J]. Journal of System Simulation, 2026, 38(2): 387-398.
DOI
10.16182/j.issn1004731x.joss.24-1039
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons