Kyle Parris Reed, Sorin Adam Matei
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. This article positions information asymmetry as a defining pillar of mission command rather than a limitation, presenting a condensation-distillation framework that manages complexity through data condensation, AI-driven distillation, and conceptual metrics. 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.
Year published: 2025
URL: https://press.armywarcollege.edu/parameters/vol55/iss4/8/