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Proceedings Paper

Review of game theory applications for situation awareness
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Paper Abstract

Game theoretical methods have been used for spectral awareness, space situational awareness (SSA), cyber situational awareness (CSA), and Intelligence, Surveillance, and Reconnaissance situation awareness (ISA). Each of these cases, awareness is supported by sensor estimation for assessment and the situation is determined from the actions of multiple players. Game theory assumes rational actors in a defined scenario; however, variations in social, cultural and behavioral factors include the dynamic nature of the context. In a dynamic data-driven application system (DDDAS), modeling must include both the measurements but also how models are used by different actors with different priorities. In this paper, we highlight the applications of game theory by reviewing the literature to determine the current state of the art and future needs. Future developments would include building towards knowledge awareness with information technology (e.g., data aggregation, access, indexing); multiscale analysis (e.g., space, time, and frequency), and software methods (e.g., architectures, cloud computing, protocols).

Paper Details

Date Published: 22 May 2015
PDF: 10 pages
Proc. SPIE 9469, Sensors and Systems for Space Applications VIII, 94690I (22 May 2015); doi: 10.1117/12.2177531
Show Author Affiliations
Erik Blasch, Air Force Research Lab. (United States)
Dan Shen, Intelligent Fusion Technology, Inc. (United States)
Khanh D. Pham, Air Force Research Lab. (United States)
Genshe Chen, Intelligent Fusion Technology, Inc. (United States)


Published in SPIE Proceedings Vol. 9469:
Sensors and Systems for Space Applications VIII
Khanh D. Pham; Genshe Chen, Editor(s)

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