Command-and-Control System Analysis and Delineation of Possible Areas for Machine Learning
DOI:
https://doi.org/10.3849/aimt.01948Keywords:
Command-and-control, Artificial intelligence, Machine Learning, Military system, Simulation, Neural NetworkAbstract
This paper explores AI and machine learning integration in military command-and-control (C2) systems, enhancing decision-making and operational efficiency. It examines AI applications across military levels, emphasizing predictive analytics, anomaly detection, and pattern recognition for improved situational awareness. Using the WASP simulation system, the study develops a neural network for scenario planning, highlighting simulators’ role in AI training. Results show AI’s potential to automate troop movement, command post deployment, and enemy maneuver recognition. The findings suggest AI-driven adaptability in dynamic battlefield environments. Future research will focus on advanced simulations and AI applications for military decision-making, reinforcing AI’s strategic role in modern warfare.a
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