Situation assessment using graphical models
Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997) - Tập 2 - Trang 886-893 vol.2
Tóm tắt
This paper presents a Bayesian network framework for situation assessment. The framework is generated from a set of technical requirements that would be a prerequisite for any situation assessment system. It is shown that Bayesian networks readily satisfy these requirements and produce a system that readily fits into the Endsley (1995) description of situation assessment. The framework can also be seen as part of the observe and orientate components of the OODA loop paradigm.
Từ khóa
#Graphical models #Bayesian methods #Decision making #Sensor phenomena and characterization #Intelligent sensors #Flexible printed circuits #Context awareness #Robustness #Aircraft #FusesTài liệu tham khảo
boutilier, 1996, Context-specific independence in bayesian networks, Proc 15th Conf Uncertainty in AI, 64
10.1162/neco.1994.6.2.181
jordan, 1999, Learning in Graphical Models
chickering, 1996, Learning Bayesian Networks is Np-complete, 121
smith, 1995, Situtation Awareness Is Adaptive Externally Directed Consciousness, 37, 137
bedney, 1999, Theory of Activity and Situation Awareness, 3, 63
dempster, 1977, Maximum likelihood from incomplete data via the em algorithm, Journal of the Royal Statistical Society B, 39, 138
endsley, 1995, Towards a Theory of Situation Awareness in Dynamic Systems, 37, 3254
wright, 2001, Use of domain knowledge models to recognize cooperative force activities, Proc of National Symp on Sensor Data Fusion
bernado, 1994, Bayesian Theory, 10.1002/9780470316870
boyd, 1987, A Discourse on Winning and Losing
waltz, 1990, Multisensor Data Fusion
pearl, 1988, Probabilistic Reasoning in Intelligent Systems Networks of Plausible Inference
wright, 2000, Measuring performance for situation assessment, 2000 MSS National Sysmposium on Sensor and Data Fusion