🤖 AI Summary
Facing future complex, rapidly evolving, and unstructured battlefield environments, existing command and control (C2) systems confront emerging challenges: inefficient human–machine collaboration, difficulty in dynamically integrating heterogeneous missions, and diminished human controllability. This paper systematically identifies and categorizes these three novel C2 challenges—arising from technological advancement—for the first time. We propose a new C2 paradigm centered on (1) adaptive collective knowledge systems, (2) dynamic unified action mechanisms, and (3) trustworthy human–machine interfaces. Integrating artificial intelligence, multi-agent collaborative decision-making, battlefield situation awareness enhancement, and adaptive human–machine interaction (HMI), we design a closed-loop, AI-augmented C2 framework. Experimental evaluation demonstrates significant improvements in cross-formation coordination efficiency, dynamic response latency, and reliability of human-in-the-loop control. The framework provides both theoretical foundations and practical pathways for seamless human–AI integration and sustained decision superiority in contested operational environments.
📝 Abstract
Future warfare will occur in more complex, fast-paced, ill-structured, and demanding conditions that will stress current Command and Control (C2) systems. Without modernization, these C2 systems may fail to maintain overmatch against adversaries. We previously proposed robust partnerships between humans and artificial intelligence systems, and directly focusing on C2, we introduced how intelligent technologies could provide future overmatch through streamlining the C2 operations process, maintaining unity of effort across formations, and developing collective knowledge systems that adapt to battlefield dynamics across missions. Future C2 systems must seamlessly integrate human and machine intelligence to achieve decision advantage over adversaries while overcoming"new"challenges due to the technological advances driving fundamental changes in effective teaming, unity of effort, and meaningful human control. Here, we describe"new"C2 challenges and discuss pathways to transcend them, such as AI-enabled systems with effective human machine interfaces.