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Abbass, H. A. (2019). Social integration of artificial intelligence: Functions, automation allocation logic and human-autonomy trust. Cognitive Computation, 11(2), 159–171.  
6/21/21, 11:26 AM
Aberdeen, D., Thi'ebaux, S., Zhang, L., & others. 2004, Decision-theoretic military operations planning.. Paper presented at ICAPS.  
6/30/20, 9:40 AM
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.  
11/23/21, 1:56 PM
Agadakos, I., Agadakos, N., Polakis, J., & Amer, M. R. 2020, Chameleons' oblivion: Complex-valued deep neural networks for protocol-agnostic rf device fingerprinting. Paper presented at 2020 IEEE European Symposium on Security and Privacy (EuroS&P).  
10/4/21, 4:22 PM
Ahmed, S., & Bajema, N. 2019. Artificial intelligence, china, russia, and the global order Technological, political, global, and creative perspectives. Air University Press. 158566295X.  
7/1/20, 12:25 PM
Albino, D. K., Friedman, K., Bar-Yam, Y., & Glenney IV, W. G. (2016). Military strategy in a complex world. arXiv preprint arXiv:1602.05670.  
1/7/22, 12:29 PM
Alkire, B., Hanser, L. M., & Lingel, S. L. (2018). A wargame method for assessing risk and resilience of military command-and-control organizations. Rand.  
11/22/21, 2:35 PM
Baonan, W., Feng, H., Huanguo, Z., & Chao, W. (2019). From evolutionary cryptography to quantum artificial intelligent cryptography. Journal of Computer Research and Development, 56(10), 2112.  
7/12/21, 9:45 AM
Blasch, E., Schuck, T., & Gagne, O. B. (2021). Trusted entropy-based information maneuverability for ai information systems engineering. In Engineering Artificially Intelligent Systems (pp. 34–52). Springer.  
7/21/22, 10:16 AM
Bloch, M. (1999). Strange defeat: A statement of evidence written in 1940. WW Norton & Company.  
10/25/21, 2:30 PM
Brown, N., & Sandholm, T. (2019). Superhuman ai for multiplayer poker. Science, 365(6456), 885–890.  
3/16/21, 8:12 AM
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 Unpublished PhD thesis, Monterey, CA; Naval Postgraduate School.  
5/2/22, 10:29 AM
Cancian, M. F. (2020). Us military forces in fy 2021. JSTOR.  
5/18/21, 3:43 PM
Caron, J. F. (2018). A theory of the super soldier: The morality of capacity-increasing technologies in the military. Manchester University Press.  
6/29/20, 11:29 AM
Christian, J. T. (2019). An examination of force ratios US Army Command and General Staff College Fort Leavenworth United States.  
3/24/22, 6:38 PM
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.  
1/12/21, 1:27 PM
Council, N. R., Sciences, D. E. P., Board, A. F. S. T., & Changes, C. R. E. A. F. S. T. P. (2003). Effectiveness of air force science and technology program changes. National Academies Press.  
6/25/20, 10:40 AM
Council, N. R., Sciences, D. E. P., Board, A. F. S., & Committee on Examination of the U. S. Air Force's Science, T. E. M. W. N. F. I. S. M. T. N. (2010). Examination of the u.s. air force's science, technology, engineering, and mathematics (stem) workforce needs in the future and its strategy to meet those needs. National Academies Press.  
6/25/20, 10:41 AM
Davis, Z. (2019). Artificial intelligence on the battlefield. PRISM, 8(2), 114–131.  
6/29/20, 1:02 PM
Davis, S. I. (2022). Artificial intelligence at the operational level of war. Defense & Security Analysis, 1–17.  
3/22/22, 2:28 PM
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WIKINDX 6.7.0 | Total resources: 1539 | Username: -- | Bibliography: WIKINDX Master Bibliography | Style: American Psychological Association (APA)