DocumentCode :
3325972
Title :
An Outcome-Based Learning Model to Identify Emerging Threats: Experimental and Simulation Results
Author :
Martinez-Moyano, Ignacio J. ; Conrad, Stephen H. ; Andersen, David F.
Author_Institution :
Argonne Nat. Lab., IL
fYear :
2007
fDate :
Jan. 2007
Abstract :
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
Keywords :
computer crime; decision making; learning (artificial intelligence); decision making; identify emerging threat; outcome-based learning model; Buildings; Decision making; Gold; Government; Humans; Learning; Predictive models; Psychology; System testing; Test pattern generators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences, 2007. HICSS 2007. 40th Annual Hawaii International Conference on
Conference_Location :
Waikoloa, HI
ISSN :
1530-1605
Electronic_ISBN :
1530-1605
Type :
conf
DOI :
10.1109/HICSS.2007.72
Filename :
4076669
Link To Document :
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