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
Abbeel, P., Coates, A., Quigley, M., & Ng, A. (2006). An application of reinforcement learning to aerobatic helicopter flight. Advances in Neural Information Processing Systems , 19 .
2/19/24, 3:11 PM
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
Aberdeen, D., Thi'ebaux, S., Zhang, L., & others. 2004, Decision-theoretic military operations planning. . Paper presented at ICAPS.
6/30/20, 9:40 AM
AKG"UL, A. (2015). Artificial intelligence military applications. Ankara {"U}niversitesi SBF Dergisi , 45 (1).
6/30/20, 9:12 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
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., 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
Allen, G. C. (2019). Understanding china's ai strategy: Clues to chinese strategic thinking on artificial intelligence and national security . Center for a New American Security Washington, DC.
6/29/20, 1:44 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
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 .
7/2/20, 11:33 AM
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 .
10/23/23, 5:28 PM
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
Ayoub, K., & Payne, K. (2016). Strategy in the age of artificial intelligence. Journal of strategic studies , 39 (5-6), 793–819.
6/29/20, 2:18 PM
Ballard, D. H., Hayhoe, M. M., Pook, P. K., & Rao, R. P. (1997). Deictic codes for the embodiment of cognition. Behavioral and brain sciences , 20 (4), 723–742.
11/9/23, 7:19 PM
Beaulieu, S., Frati, L., Miconi, T., Lehman, J., Stanley, K. O., & Clune, J., et al.. (2020). Learning to continually learn. arXiv preprint arXiv:2002.09571 .
11/8/21, 1:19 PM
Bengio, Y., Lecun, Y., & Hinton, G. (2021). Deep learning for ai. Communications of the ACM , 64 (7), 58–65.
1/18/23, 12:34 PM
Bhovad, P., & Li, S. (2021). Physical reservoir computing with origami and its application to robotic crawling. Scientific reports , 11 (1), 1–18.
11/1/21, 11:18 AM
