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The US Army War College Quarterly: Parameters

Abstract

This special commentary argues that military articificial intelligence integration must pivot from model reliability to a “cognitive fit” within human-machine teams to ensure decision advantage under uncertainty. It advances beyond traditional artificial intelliegenceintelligence metrics by focusing on dynamic operational adaptation, and systemic resilience. The research employs an eco-cognitive framework, synthesizing John Boyd’s evolutionary theories with modern cognitive science and risk management principles. This analysis offers policy and military practitioners a crucial blueprint for designing command structures that preserve human judgment and mitigate risk.

Digital Object Identifier (DOI)

10.55540/0031-1723.3402

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