An Outcome-Based Learning Model to Identify Emerging Threats: Experimental and Simulation Results

H
HICSS
2007
40th Annual Hawaii International Conference on System Sciences (HICSS'07)
Abstract - An Outcome-Based Learning Model to Identify Emerging Threats: Experimental and Simulation Results

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40th Annual Hawaii International Conference on System Sciences (HICSS'07)

An Outcome-Based Learning Model to Identify Emerging Threats: Experimental and Simulation Results (PDF)

Big Island, Hawaii

January 03-January 06

ISBN: 0-7695-2755-8

	ASCII Text	x
	Ignacio J. Martinez-Moyano, Stephen H. Conrad, David F. Andersen, "An Outcome-Based Learning Model to Identify Emerging Threats: Experimental and Simulation Results," Hawaii International Conference on System Sciences, pp. 145c, 40th Annual Hawaii International Conference on System Sciences (HICSS'07), 2007.

	BibTex	x
	@article{ 10.1109/HICSS.2007.72, author = {Ignacio J. Martinez-Moyano and Stephen H. Conrad and David F. Andersen}, title = {An Outcome-Based Learning Model to Identify Emerging Threats: Experimental and Simulation Results}, journal ={Hawaii International Conference on System Sciences}, volume = {0}, year = {2007}, issn = {1530-1605}, pages = {145c}, doi = {http://doi.ieeecomputersociety.org/10.1109/HICSS.2007.72}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Hawaii International Conference on System Sciences TI - An Outcome-Based Learning Model to Identify Emerging Threats: Experimental and Simulation Results SN - 1530-1605 SP EP A1 - Ignacio J. Martinez-Moyano, A1 - Stephen H. Conrad, A1 - David F. Andersen, PY - 2007 KW - null VL - 0 JA - Hawaii International Conference on System Sciences ER -

Ignacio J. Martinez-Moyano, Argonne National Laboratory

Stephen H. Conrad, Sandia National Laboratories

David F. Andersen, University at Albany

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HICSS.2007.72

The authors present experimental and simulation results of an outcome-based learning model as it applies to the identification of emerging threats. This model integrates judgment, decision making, and learning theories to provide an integrated framework for the behavioral study of emerging threats.

Citation:

Ignacio J. Martinez-Moyano, Stephen H. Conrad, David F. Andersen, "An Outcome-Based Learning Model to Identify Emerging Threats: Experimental and Simulation Results," hicss, pp.145c, 40th Annual Hawaii International Conference on System Sciences (HICSS'07), 2007

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