Flexible and Intelligent Learning Architectures for SoS (FILA-SoS): Architectural Evolution in Systems-of-Systems
Abstract
The dynamic planning for a system-of-systems is a challenging endeavor. Department of Defense (DoD) programs constantly face challenges to incorporate new systems and upgrade existing systems over a period of time under threats, constrained budget, and uncertainty. It is therefore necessary for the DoD to be able to look at the future scenarios and critically assess the impact of technology and stakeholder changes. The DoD currently is looking for options that signify affordable acquisition selections and lessen the cycle time for early acquisition and new technology addition. This paper gives an overview of a novel methodology known as the Flexible Intelligent & Learning Architectures in System-of-Systems (FILA-SoS). This approach allows for analyzing sequential decisions in evolving SoS architectures. An ISR SoS example illustrates an application of the method.
Recommended Citation
S. Agarwal and L. Pape and C. H. Dagli and N. Ergin and D. L. Enke and A. Gosavi and R. Qin and D. Konur and R. Wang and R. Gottapu, "Flexible and Intelligent Learning Architectures for SoS (FILA-SoS): Architectural Evolution in Systems-of-Systems," Procedia Computer Science, vol. 44, pp. 76 - 85, Elsevier, Mar 2015.
The definitive version is available at https://doi.org/10.1016/j.procs.2015.03.005
Meeting Name
2015 Conference on Systems Engineering Research (2015: Mar. 17-19, Hoboken, NJ)
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
System-of-Systems; Acquisition; Uncertainty; Stakeholder; Flexible; Department of Defense; Architecture
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2015 Elsevier, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Publication Date
01 Mar 2015
