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Military operations necessitate swift and informed choices under duress. This paper explores the intersection of military and engineering sciences, proposing a novel framework that leverages artificial intelligence (AI) and advanced engineering simulations to bolster military decision-making. GenAi, using a cutting-edge large language model, is employed to analyze vast datasets of historical military campaigns, engineering feats, and terrain data. By integrating GenAi's analytical prowess with physics-based engineering simulations, the framework enables the creation of high-fidelity virtual battlefields. These simulations can incorporate real-world factors like weather patterns, troop movements, and equipment capabilities. Military commanders can utilize these simulations to experiment with various strategies and assess potential outcomes before committing troops. The framework facilitates the exploration of complex scenarios, including combined arms maneuvers, logistical support chains, and the efficacy of novel weaponry. Through iterative simulations, commanders can refine their plans, identify potential weaknesses, and optimize resource allocation. This paper highlights the advantages of this AI-powered approach, including enhanced situational awareness, improved risk assessment, and the ability to train for unforeseen circumstances. It also acknowledges the challenges associated with data security, model bias, and the ethical considerations of employing AI in warfare. Finally, the paper proposes future research directions to refine the framework and ensure its responsible implementation within the military domain.
MECLEA et al. (Wed,) studied this question.