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来源类型 | Report |
规范类型 | 报告 |
DOI | https://doi.org/10.7249/RR4408.1 |
来源ID | RR-4408/1-AF |
Joint All-Domain Command and Control for Modern Warfare: An Analytic Framework for Identifying and Developing Artificial Intelligence Applications | |
Sherrill Lingel; Jeff Hagen; Eric Hastings; Mary Lee; Matthew Sargent; Matthew Walsh; Li Ang Zhang; David Blancett | |
发表日期 | 2020-07-01 |
出版年 | 2020 |
语种 | 英语 |
结论 |
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摘要 | The authors examine and recommend opportunities for applying artificial intelligence (AI) and, more broadly, automation to deliberate planning for joint all-domain command and control (JADC2) for the U.S. Air Force. ,The authors found that three primary enabling categories must be aligned to support future multidomain operations: (1) the command and control (C2) construct or how the forces are organized, where the authorities reside, and how they are trained and manned, (2) the data and data infrastructure needed to leverage data for C2, and (3) the tools, applications, and algorithms that leverage the data to C2 all-domain forces to include AI algorithms. ,Moving to a modernized JADC2 requires various stakeholders to collaborate to set policy, guidance, tactics, techniques, procedures, training and exercising, infrastructure, and tools, likely leveraging AI, to operationalize concepts. |
目录 |
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主题 | Air Warfare ; Artificial Intelligence ; Big Data ; Joint Operations ; Military Command and Control ; United States Air Force ; Wargaming |
URL | https://www.rand.org/pubs/research_reports/RR4408z1.html |
来源智库 | RAND Corporation (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/524142 |
推荐引用方式 GB/T 7714 | Sherrill Lingel,Jeff Hagen,Eric Hastings,et al. Joint All-Domain Command and Control for Modern Warfare: An Analytic Framework for Identifying and Developing Artificial Intelligence Applications. 2020. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
RAND_RR4408z1.pdf(3213KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
x1648563640893.jpg.p(2KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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