Abstract
The existence and rise of highly complex problems require solutions that can adapt to changing events and environments. An engineered solution must address highly complex problems through adaptive architectures and the embedding of constituent systems with the intelligence to learn self-organize, collaborate, and evolve in order to achieve desired adaptable emergent behavior. Advances in information and computational technologies enable the potential development of complex, adaptive, and intelligent capabilities needed to engineer complex adaptive system of system solutions. This paper presents concepts for an engineered solution that can address highly complex problems through self-organization and desired emergent behavior.
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References
Johnson, B., Hernandez, A.: Exploring engineered complex adaptive systems of systems. Procedia Comput. Sci. 95, 58–65 (2016)
Johnson, B.: A Framework for Engineered Complex Adaptive Systems of Systems. Naval Postgraduate School Dissertation (2019)
Johnson, B.: Engineered complex adaptive systems: a military application. In: Morales, A., Gershenson, C., Minai, A., Bar-Yam, Y. (eds.) Unifying Themes in Complex Systems IX: International Conference on Complex Systems (ICCS). Springer Proceedings in Complexity, pp. 499–506. Springer, New York (2018)
Young, B., Green, J.: Achieving a decision paradigm for distributed warfare resource management. In: Systems Engineering DC (SEDC) Conference (2014)
Johnson, B.: Towards a theory of engineering complex adaptive systems of systems. In: IEEE Xplore Proceedings of the 18th Annual IEEE International Systems Conference, Vancouver, BC (2018)
Steinberg, A., Bowman, C., White, F.: Revisions to the JDL data fusion model. In: AIAA Missile Sciences Conference, Monterey, CA (1998)
Johnson, B., Green, J., Canfield, W.: Gaining naval battle space through automation. In: National Fire Control Symposium, Kauai, HI (2001)
Hengstler, M., Enkel, E., Duelli, S.: Applied artificial intelligence and trust – the case of the autonomous vehicles and medical assistance devices. Technol. Forecast. Soc. Chang. 105(April), 105–120 (2016)
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Johnson, B. (2021). Intelligent and Adaptive Systems of Systems for Engineering Desired Self-organization and Emergent Behavior. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1. FTC 2020. Advances in Intelligent Systems and Computing, vol 1288. Springer, Cham. https://doi.org/10.1007/978-3-030-63128-4_11
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DOI: https://doi.org/10.1007/978-3-030-63128-4_11
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