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Tactical robust decision-making methodology: Effect of disease spread model fidelity on option awareness
Jennifer Mathieu
author
Mark Pfaff
author
Gary L. Klein
author
Jill L. Drury
author
Michael Geodecke
author
John James
author
Paula Mahoney
author
Georgiy Bobashev
author
2010
Information Systems for Crisis Response and Management, ISCRAM
Seattle, WA
English
We demonstrate a method of validating the utility of simpler, more agile models for supporting tactical robust decision making. The key is a focus on the decision space rather than the situation space in decision making under deep uncertainty. Whereas the situation space is characterized by facts about the operational environment, the decision space is characterized by a comparison of the options for action. To visualize the range of options available, we can use computer models to generate the distribution of plausible consequences for each decision option. If we can avoid needless detail in these models, we can save computational time and enable more tactical decision-making, which will in turn contribute to more efficient Information Technology systems. We show how simpler low fidelity, low precision models can be proved to be sufficient to support the decision maker. This is a pioneering application of exploratory modeling to address the human-computer integration requirements of tactical robust decision making.
Computer simulation
Information systems
Agent-based model
Computational time
Courses of action
Equation models
Information technology systems
Integration requirements
Model and simulation
Operational environments
Decision making
exported from refbase (http://idl.iscram.org/show.php?record=747), last updated on Fri, 01 Apr 2016 11:45:47 +0200
text
http://idl.iscram.org/files/mathieu/2010/747_Mathieu_etal2010.pdf
JenniferMathieu_etal2010
ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings
ISCRAM 2010
S. French
B
Tomaszewski
editor
7th International ISCRAM Conference on Information Systems for Crisis Response and Management
2010
Information Systems for Crisis Response and Management, ISCRAM
Seattle, WA
conference publication
2411-3387
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