Re-Envisioning Command and Control
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Abstract (arXiv)
Future warfare will require Command and Control (C2) decision-making to occur in more complex, fast-paced, ill-structured, and demanding conditions. C2 will be further complicated by operational challenges such as Denied, Degraded, Intermittent, and Limited (DDIL) communications and the need to account for many data streams, potentially across multiple domains of operation. Yet, current C2 practices -- which stem from the industrial era rather than the emerging intelligence era -- are linear and time-consuming. Critically, these approaches may fail to maintain overmatch against adversaries on the future battlefield. To address these challenges, we propose a vision for future C2 based on robust partnerships between humans and artificial intelligence (AI) systems. This future vision is encapsulated in three operational impacts: streamlining the C2 operations process, maintaining unity of effort, and developing adaptive collective knowledge systems. This paper illustrates the envisaged future C2 capabilities, discusses the assumptions that shaped them, and describes how the proposed developments could transform C2 in future warfare.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 5 of its 21 references that are in the map. First posted on arXiv 9 Feb 2024.
Builds on
5 of 21 references.
References · 5
- 2016Deep Learning for Identifying Metastatic Breast Cancercited by 93
- 2019Leveraging Human Guidance for Deep Reinforcement Learning Taskscited by 42
- 2024COA-GPT: Generative Pre-trained Transformers for Accelerated Course of Action Development in Military Operationscited by 11
- 2020Preference-Based Learning for User-Guided HZD Gait Generation on Bipedal Walking Robotscited by 6
- 2021Learning Controller Gains on Bipedal Walking Robots via User Preferencescited by 5
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Citing papers per year: 2024: 1.
1 paper.