AI Bibliography

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Dunne, R., Morris, T., & Harper, S. (2021). A survey of ambient intelligence. ACM Computing Surveys (CSUR), 54(4), 1–27.  
09/11/2023, 20:29
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.  
09/11/2023, 19:19
Bonabeau, E., Dorigo, M., & Theraulaz, G. (1999). Swarm intelligence: From natural to artificial systems. Oxford University Press.  
09/11/2023, 19:03
Santana, P., & Correia, L. (2010). A swarm cognition realization of attention, action selection, and spatial memory. Adaptive Behavior, 18(5), 428–447.  
09/11/2023, 18:53
Hunt, E. R., Jones, S., & Hauert, S. (2019). Testing the limits of pheromone stigmergy in high-density robot swarms. Royal Society open science, 6(11), 190225.  
09/11/2023, 15:46
Iacopino, P. P., & Policella, N. (2011). A stigmergy-based paradigm for mission planning and scheduling of multiple spacecraft. AI in Space: Intelligence beyond planet Earth, Barcelona.  
09/11/2023, 15:38
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.  
09/11/2023, 15:31
Werfel, J., Bar-Yam, Y., & Nagpal, R. (2005). Construction by robot swarms using extended stigmergy. MIT CSAIL.  
09/11/2023, 15:26
Garnier, S., Gautrais, J., & Theraulaz, G. (2007). The biological principles of swarm intelligence. Swarm intelligence, 1, 3–31.  
09/11/2023, 15:16
Correia, L., Sebasti ao, A. M., & Santana, P. (2017). On the role of stigmergy in cognition. Progress in Artificial Intelligence, 6, 79–86.  
09/11/2023, 15:02
Letaief, K. B., Shi, Y., Lu, J., & Lu, J. (2021). Edge artificial intelligence for 6g: Vision, enabling technologies, and applications. IEEE Journal on Selected Areas in Communications, 40(1), 5–36.  
08/11/2023, 17:51
Hart, B. L. (2008). Strategy: the indirect approach. Strategic Studies: A Reader, 82.  
23/10/2023, 17:28
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.  
23/10/2023, 17:28
Mohan, P. V., Dixit, S., Gyaneshwar, A., Chadha, U., Srinivasan, K., & Seo, J. T. (2022). Leveraging computational intelligence techniques for defensive deception: A review, recent advances, open problems and future directions. Sensors, 22(6), 2194.  
20/10/2023, 20:59
DC, J. C. O. S. W. (2012). Joint electromagnetic spectrum management operations. Joint Publication.  
20/10/2023, 20:27
Wylie Jr, J. (2014). Military strategy: A general theory of power control. Naval Institute Press.  
20/10/2023, 17:20
Vasylenko, M., & Karpyuk, I. (2018). Telemetry system of unmanned aerial vehicles. Electronics and control systems., (3), 95–100.  
19/10/2023, 18:12
Endsley, M. R. (1995). Toward a theory of situation awareness in dynamic systems. Human factors, 37(1), 32–64.  
18/10/2023, 18:48
Munir, A., Aved, A., & Blasch, E. (2022). Situational awareness: Techniques, challenges, and prospects. AI, 3(1), 55–77.  
18/10/2023, 13:57
Grant, R. (1997). Closing the doctrine gap. Air Force Magazine, 80(1).  
17/10/2023, 20:23
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WIKINDX 6.7.0 | Total resources: 1621 | Username: -- | Bibliography: WIKINDX Master Bibliography | Style: American Psychological Association (APA)