Abstract
Artificial intelligence can optimize mission command by condensing multisource field data that ascends the decision chain while distilling concise, decision-quality guidance to the tactical edge. Diverging from existing publications, this article positions information asymmetry as a defining pillar of mission command rather than a limitation. This article presents a condensation-distillation framework that manages complexity through data condensation, AI-driven distillation, and conceptual metrics to assess asymmetric information flows. Drawing on military doctrine, algorithmic-warfare literature, and current modernization programs, military practitioners will engage with a systems-thinking perspective, revealing how AI-enabled command and control can enhance decision clarity and reinforce the intent of mission command.
Digital Object Identifier (DOI)
10.55540/0031-1723.3370
Recommended Citation
Sorin A. Matei & Kyle P. Reed, "Mission Command’s Asymmetric Advantage Through AI-Driven Data Management," Parameters 55, no. 4 (2025), doi:10.55540/0031-1723.3370.