AI Bibliography

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Abderhalden, N. (2022). risk hindered decision making: how the dod’s faulty understanding of risk jeopardizes its strategy. The Strategy Bridge.  
29/05/2022, 09:05
Acton, J. M. (2018). Escalation through entanglement: How the vulnerability of command-and-control systems raises the risks of an inadvertent nuclear war. International Security, 43(1), 56–99.  
23/11/2021, 13:56
Albino, D. K., Friedman, K., Bar-Yam, Y., & Glenney IV, W. G. (2016). Military strategy in a complex world. arXiv preprint arXiv:1602.05670.  
07/01/2022, 12:29
Alkire, B., Hanser, L. M., & Lingel, S. L. (2018). A wargame method for assessing risk and resilience of military command-and-control organizations. Rand.  
22/11/2021, 14:35
Alkire, B., LINGEL, S., Baxter, C., Carson, C. M., Chen, C., & Gordon, D., et al.. (2018). Command and control of joint air operations in the pacific: Methods for comparing and contrasting alternative concepts RAND PROJECT AIR FORCE SANTA MONICA CA SANTA MONICA United States.  
22/11/2021, 14:30
Amir, O., Grosz, B. J., Gajos, K. Z., & Gultchin, L. (2019). Personalized change awareness: Reducing information overload in loosely-coupled teamwork. Artificial Intelligence, 275, 204–233.  
14/09/2021, 16:04
Amoroso, D., Frank, S., Noel, S., Lucy, S., & Guglielmo, T. (2018). Autonomy in weapon systems: The military application of artificial intelligence as a litmus test for germany’s new foreign and security policy. Autonomy in Weapon Systems.  
02/07/2020, 11:33
Anderljung, M., Barnhart, J., Leung, J., Korinek, A., O'Keefe, C., & Whittlestone, J., et al.. (2023). Frontier ai regulation: Managing emerging risks to public safety. arXiv preprint arXiv:2307.03718.  
23/10/2023, 17:28
Angle, D. W. (1998). Air force and army digitization and the joint targeting process for time-critical targets ARMY COMMAND AND GENERAL STAFF COLL FORT LEAVENWORTH KS SCHOOL OF ADVANCED~….  
15/12/2020, 10:03
Barton, M. (2021). The department of defense high performance computing modernization program. The Journal of Defense Modeling and Simulation, 15485129211061743.  
11/12/2022, 12:53
Beckett, G. P. (2020). Leveraging artificial intelligence and automatic target recognition to accelerate deliberate targeting AIR WAR COLL MAXWELL AFB AL MAXWELL AFB United States.  
06/04/2021, 12:23
Best, C., Galanis, G., Sottilare, R., Kerry, J., Harris, P. D., & Salas, E., et al.. (2013). Fundamental issues in defense training and simulation. Ashgate Publishing Limited.  
25/06/2020, 10:06
Blessman, D. (2020). Jado for 2035 AIR UNIV MAXWELL AFB AL MAXWELL AFB United States.  
08/12/2020, 12:34
Board, D. I. (2019). Ai principles: Recommendations on the ethical use of artificial intelligence by the department of defense. Supporting document, Defense Innovation Board.  
02/07/2020, 12:40
Booker, C. M. (2013). First-strike advantage: The united states' counter to china's preemptive integrated network electronic warfare strategy AIR UNIV MAXWELL AFB AL SCHOOL OF ADVANCED AIR AND SPACE STUDIES.  
17/08/2021, 10:12
Bracken, P. (2006). Net assessment: A practical guide. The US Army War College Quarterly: Parameters, 36(1), 1.  
26/09/2022, 10:49
Brown, M. W. (2020). Developing readiness to trust artificial intelligence within warfighting teams. Military Review, 100(1), 36–44.  
01/07/2020, 11:28
Burns, G. R., Collier, R. T., Cornish, R. J., Curley, K. J., Freeman, A., & Spears, J. (2021). Evaluating artificial intelligence methods for use in kill chain functions. Unpublished PhD thesis, Monterey, CA; Naval Postgraduate School.  
02/05/2022, 10:29
Cancian, M. F. (2020). Us military forces in fy 2021. JSTOR.  
18/05/2021, 15:43
Cirincione, G., & Verma, D. 2019, Federated machine learning for multi-domain operations at the tactical edge. Paper presented at Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications.  
12/01/2021, 13:27
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WIKINDX 6.7.0 | Total resources: 1621 | Username: -- | Bibliography: WIKINDX Master Bibliography | Style: American Psychological Association (APA)