Applying Bayesian belief networks in rapid response situations [electronic resource].

Published:: Washington, D.C. : United States. Dept. of Energy, 2008.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
Additional Creators:: Los Alamos National Laboratory, United States. Department of Energy, and United States. Department of Energy. Office of Scientific and Technical Information

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Summary:

The authors have developed an enhanced Bayesian analysis tool called the Integrated Knowledge Engine (IKE) for monitoring and surveillance. The enhancements are suited for Rapid Response Situations where decisions must be made based on uncertain and incomplete evidence from many diverse and heterogeneous sources. The enhancements extend the probabilistic results of the traditional Bayesian analysis by (1) better quantifying uncertainty arising from model parameter uncertainty and uncertain evidence, (2) optimizing the collection of evidence to reach conclusions more quickly, and (3) allowing the analyst to determine the influence of the remaining evidence that cannot be obtained in the time allowed. These extended features give the analyst and decision maker a better comprehension of the adequacy of the acquired evidence and hence the quality of the hurried decisions. They also describe two example systems where the above features are highlighted.

Report Numbers:

E 1.99:la-ur-08-03952
E 1.99: la-ur-08-3952
la-ur-08-3952
la-ur-08-03952

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Note:

Published through SciTech Connect.
01/01/2008.
"la-ur-08-03952"
" la-ur-08-3952"
42nd Hawaii International Conference of System Sciences ; January 5, 2009 ; Waikoloa.
Gibson, William L; Deborah, Leishman, A.; Van Eeckhout, Edward.

Funding Information:

AC52-06NA25396

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