Year: 2025
Type: article
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.
Authors: Sorin Adam Matei, Kyle Parris Reed
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4417462408
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