AI Bibliography

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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
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
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
Bertino, E., Calo, S., Toma, M., Verma, D., Williams, C., & Rivera, B. 2017, A cognitive policy framework for next-generation distributed federated systems: Concepts and research directions. Paper presented at 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS).  
6/12/23, 6:16 PM
Biediger, D., Mahadev, A., & Becker, A. T. 2019, Investigating the survivability of drone swarms with flocking and swarming flight patterns using virtual reality. Paper presented at 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE).  
7/30/20, 8:30 AM
Black, T. (2015). Armed drones seen as dogfight ready in not too distant future. Bloomberg.com, N.PAG.  
7/30/20, 8:43 AM
Burdick, J. E. (2016). Instantly basing locust swarms: New options for future air operations. Air University Press, Air Force Research Institute.  
6/25/20, 10:11 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 Unpublished PhD thesis, Monterey, CA; Naval Postgraduate School.  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
Chiu, S., Araiza Illan, D., & Eder, K. Bio-inspired self-preservation to protect robots from threats. in towards autonomous robotic systems 18th annual conference, taros 2017, guildford, uk, july 19--21, 2017, proceedings (pp. 166-181).(lecture notes in computer science (including lecture notes in artificial intelligence). TAROS.  
10/5/21, 3:28 PM
Churyumov, G., Tkachov, V., Tokariev, V., & Diachenko, V. 2018, Method for ensuring survivability of flying ad-hoc network based on structural and functional reconfiguration. Paper presented at Selected Papers of the XVIII International Scientific and Practical Conference {guillemotleft}Information Technologies and Security{guillemotright}(ITS 2018).  
3/7/22, 2:49 PM
Correia, L., Sebasti ao, A. M., & Santana, P. (2017). On the role of stigmergy in cognition. Progress in Artificial Intelligence, 6, 79–86.  
11/9/23, 3:02 PM
Couceiro, M. S., Portugal, D., Ferreira, J. A. F., & Rocha, R. P. 2019, Semfire: Towards a new generation of forestry maintenance multi-robot systems. Paper presented at 2019 IEEE/SICE International Symposium on System Integration (SII).  
8/11/22, 11:48 AM
Elhefnawy, N. (2021). 'a sixth generation fighter?' an update. An Update (May 4, 2021).  
5/18/21, 3:31 PM
Etzioni, A., & Etzioni, O. (2017). Pros and cons of autonomous weapons systems. Military Review, 97(3), 72–81.  
7/1/20, 12:06 PM
Galliott, J. (2015). Artificial intelligence and space robotics: Questions of responsibility1. In Commercial space exploration: ethics, policy and governance (pp. 211–226). Ashgate Publishing.  
6/30/20, 8:29 AM
Goldfarb, A., & Lindsay, J. R. (2021). Prediction and judgment: Why artificial intelligence increases the importance of humans in war. International Security, 46(3), 7–50.  
8/11/23, 8:35 PM
Grasso, P., & Innocente, M. S. (2022). Stigmergy-based collision-avoidance algorithm for self-organising swarms. In Computational Vision and Bio-Inspired Computing: Proceedings of ICCVBIC 2021 (pp. 253–261). Springer.  
11/9/23, 3:31 PM
Hagos, D. H., & Rawat, D. B. (2022). Recent advances in artificial intelligence and tactical autonomy: Current status, challenges, and perspectives. Sensors, 22(24), 9916.  
9/7/23, 1:16 PM
Harkat, H., Ruano, A., Ruano, M., & Bennani, S. (2018). Classifier design by a multi-objective genetic algorithm approach for gpr automatic target detection. IFAC-PapersOnLine, 51(10), 187–192.  
8/6/20, 9:54 AM
Hayles, N. K. (2016). Cognitive assemblages: Technical agency and human interactions. Critical Inquiry, 43(1), 32–55.  
8/30/22, 11:17 AM
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WIKINDX 6.7.0 | Total resources: 1621 | Username: -- | Bibliography: WIKINDX Master Bibliography | Style: American Psychological Association (APA)