AI Strategy and Concepts Bibliography

Welcome to the AI Strategy and Concepts Bibliography site. The site uses the Wikindx bibliography tool to offer a variety of search options across sources we've targeted for tracking in several related domains of research shaping and impacting artificial intelligence (AI) and its influence on strategy and concepts: cognitive science, neuroscience, complexity science, computer science, military science, machine learning, deep learning, neural nets, robotics, advanced wargaming, augmented cognition and decisionmaking, quantum computing, adaptive networks, informatics, analytics, data sciences, to name a few areas that are increasingly converging in advanced theory, practices, and applications. The latest 20 additions to the bibliography are displayed below but hundreds of sources are searchable. We attempt to emphasize current sources along with foundational references underpinning major areas of research impacting AI. This site also supports neural nets used by AI engines employed in our simulations. If you wish to contribute to the bibliography please register under the Wikindx menu option. You can also return to the AI Strategy and Concepts Hub from the Wikindx menu option. 

Recent additions or edits

Zhang, Y., Guangya, S., & Wang, Y. (2020). Modelling and simulation of cognitive electronic attack under the condition of system of systems combat. Defence Science Journal, 70(2), 183.
Last edited by: SijanLibrarian 2020-10-19 14:08:41 Pop. 0%
Wu, R., Zhao, Y., Clarke, A., & Kendall, A. 2017, A framework using machine vision and deep reinforcement learning for self-learning moving objects in a virtual environment. Paper presented at Naval Post Graduate School.
Last edited by: SijanLibrarian 2020-10-19 13:51:11 Pop. 0%
You, S., Diao, M., Gao, L., Zhang, F., & Wang, H. (2020). Target tracking strategy using deep deterministic policy gradient. Applied soft computing, 95, 106490.
Last edited by: SijanLibrarian 2020-10-19 13:44:55 Pop. 0%
Haney, B. S. (2020). Applied artificial intelligence in modern warfare and national security policy. Hastings Sci. & Tech. LJ, 11, 61.
Last edited by: SijanLibrarian 2020-10-19 13:28:47 Pop. 0%
Brown, L. (2019). Augmented reality in international pilot training to meet training demands. Univ of Michigan,
Last edited by: SijanLibrarian 2020-10-15 17:33:09 Pop. 0%
Maroco, J. A., & B'artolo-Ribeiro, R. (2013). Selection of air force pilot candidates: A case study on the predictive accuracy of discriminant analysis, logistic regression, and four neural network types. The International Journal of Aviation Psychology, 23(2), 130–152.
Last edited by: SijanLibrarian 2020-10-15 17:28:21 Pop. 0%
Maity, S. (2019). Identifying opportunities for artificial intelligence in the evolution of training and development practices. Journal of Management Development,
Last edited by: SijanLibrarian 2020-10-15 17:24:55 Pop. 0%
Pennington, E., Hafer, R., Nistler, E., Seech, T., & Tossell, C. 2019, Integration of advanced technology in initial flight training. Paper presented at 2019 Systems and Information Engineering Design Symposium (SIEDS).
Last edited by: SijanLibrarian 2020-10-15 17:21:26 Pop. 0%
Benton, J., Smith, D. E., Kaneshige, J., Keely, L., & Stucky, T. 2018, Chap-e: A plan execution assistant for pilots. Paper presented at ICAPS.
Last edited by: SijanLibrarian 2020-10-15 17:07:27 Pop. 0%
Haiduk, P. M. (2017). Display formats for smart glasses to support pilots in general aviation. Unpublished PhD thesis, Technische Universit"at.
Last edited by: SijanLibrarian 2020-10-15 17:03:32 Pop. 0%
Heller, C. H. (2019). Near-term applications of artificial intelligence. Naval War College Review, 72(4), 73–100.
Last edited by: SijanLibrarian 2020-10-15 16:57:00 Pop. 0%
Burian, B. K., Kochan, J. A., Mosier, K. L., & Fischer, U. (2017). Autonomous, context-sensitive, task management systems and decision support tools ii: Contextual constraints and information sources. NASA Study,
Last edited by: SijanLibrarian 2020-10-15 16:52:30 Pop. 0%
Cerrato, P., & Halamka, J. (2020). Reinventing clinical decision support: Data analytics, artificial intelligence, and diagnostic reasoning. Taylor & Francis.
Last edited by: SijanLibrarian 2020-10-15 16:48:35 Pop. 0%
Li, W.-C., Horn, A., Sun, Z., Zhang, J., & Braithwaite, G. (2020). Augmented visualization cues on primary flight display facilitating pilot's monitoring performance. International Journal of Human-Computer Studies, 135, 102377.
Last edited by: SijanLibrarian 2020-10-15 16:45:24 Pop. 0%
Seamster, T. L., & Redding, R. E. (2017). Applied cognitive task analysis in aviation. Routledge.
Last edited by: SijanLibrarian 2020-10-15 16:39:22 Pop. 0%
Ramirez-Atencia, C., Rodr'iguez-Fern'andez, V., Gonzalez-Pardo, A., & Camacho, D. 2017, New artificial intelligence approaches for future uav ground control stations. Paper presented at 2017 IEEE Congress on Evolutionary Computation (CEC).
Last edited by: SijanLibrarian 2020-10-15 16:34:24 Pop. 0%
Dismukes, R., & Berman, B. (2010). Checklists and monitoring in the cockpit: Why crucial defenses sometimes fail. NASA Study,
Last edited by: SijanLibrarian 2020-10-15 16:32:28 Pop. 0%
Thomay, C., Gollan, B., Ferscha, A., & Spiess, M. 2019, Taking off: Towards real competence-based flight pilot training. Paper presented at 2019 17th International Conference on Emerging eLearning Technologies and Applications (ICETA).
Last edited by: SijanLibrarian 2020-10-15 16:25:11 Pop. 0%
Chang, K. D., Raheem, A. A., & Rha, K. H. (2018). Novel robotic systems and future directions. Indian journal of urology: IJU: journal of the Urological Society of India, 34(2), 110.
Added by: SijanLibrarian 2020-10-15 16:21:10 Pop. 0%
Murthy, L., Mukhopadhyay, A., Yellheti, V., Arjun, S., Thomas, P., & Babu, M. D., et al. 2020, Evaluating accuracy of eye gaze controlled interface in military aviation environment. Paper presented at 2020 IEEE Aerospace Conference.
Last edited by: SijanLibrarian 2020-10-15 16:19:23 Pop. 0%
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