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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
Abdel-Basset, M., Gamal, A., Moustafa, N., Abdel-Monem, A., & El-Saber, N. (2021). A security-by-design decision-making model for risk management in autonomous vehicles. IEEE Access, 9, 107657–107679.  
6/14/23, 6:25 PM
Abderhalden, N. (2022). risk hindered decision making: how the dod’s faulty understanding of risk jeopardizes its strategy. The Strategy Bridge.  
5/29/22, 9:05 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
Ahram, T., Karwowski, W., Vergnano, A., Leali, F., & Taiar, R. (2020). Intelligent human systems integration 2020: Proceedings of the 3rd international conference on intelligent human systems integration (ihsi 2020): integrating people and intelligent systems, february 19-21, 2020, modena, italy. Springer International Publishing.  
6/25/20, 9:32 AM
Albarado, K., Coduti, L., Aloisio, D., Robinson, S., Drown, D., & Javorsek, D. (2021). Alphamosaic: An artificially intelligent battle management architecture. Journal of Aerospace Information Systems, 1–11.  
1/18/22, 7:59 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
Alexander, D. (2020). Neural networks: History and applications. Nova Science Publishers, Incorporated.  
6/25/20, 4:36 PM
Ali-Tolppa, J., Kocsis, S., Schultz, B., Bodrog, L., & Kajo, M. 2018, Self-healing and resilience in future 5g cognitive autonomous networks. Paper presented at 2018 ITU Kaleidoscope: Machine Learning for a 5G Future (ITU K).  
9/7/21, 9:03 AM
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.  
11/22/21, 2:30 PM
Allen, C., Balavzevi'c, I., & Hospedales, T. (2020). A probabilistic framework for discriminative and neuro-symbolic semi-supervised learning. arXiv preprint arXiv:2006.05896.  
11/26/20, 3:01 AM
Alt, C., H"ubner, M., & Hennig, L. (2019). Fine-tuning pre-trained transformer language models to distantly supervised relation extraction. arXiv preprint arXiv:1906.08646.  
10/6/20, 1:17 PM
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.  
9/14/21, 4:04 PM
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~….  
12/15/20, 10:03 AM
Antal, J. F. (1990). Combat orders: An analysis of the tactical orders process ARMY COMMAND AND GENERAL STAFF COLL FORT LEAVENWORTH KS.  
10/12/21, 10:12 AM
Arabshahi, F., Lee, J., Gawarecki, M., Mazaitis, K., Azaria, A., & Mitchell, T. (2020). Conversational neuro-symbolic commonsense reasoning. arXiv preprint arXiv:2006.10022.  
11/26/20, 2:54 AM
Arora, S., & Doshi, P. (2021). A survey of inverse reinforcement learning: Challenges, methods and progress. Artificial Intelligence, 297, 103500.  
2/19/24, 9:45 PM
Atkinson, K., Baroni, P., Giacomin, M., Hunter, A., Prakken, H., & Reed, C., et al.. (2017). Towards artificial argumentation. AI Magazine, 38(3), 25–36.  
9/19/22, 1:54 PM
Attfield, S., & Baber, C. 2017, Elaborating the frames of data-frame theory. Paper presented at 13th International conference on Naturalistic Decision Making.  
6/18/23, 7:31 PM
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WIKINDX 6.7.0 | Total resources: 1610 | Username: -- | Bibliography: WIKINDX Master Bibliography | Style: American Psychological Association (APA)