Data Farming and the Exploration of Inter-Agency, Inter-Disciplinary, and International "What If?" Questions
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Authors
Anderson, Steve
Horne, Gary
Meyer, Ted
Triola, Larry
Subjects
DECISION MAKING
PERFORMANCE PREDICTION
RELIABILITY ANALYSIS
TERRAIN
TOPOGRAPHY
SIMULATION
PERFORMANCE PREDICTION
RELIABILITY ANALYSIS
TERRAIN
TOPOGRAPHY
SIMULATION
Advisors
Date of Issue
2012-03
Date
Mar 01, 2012
Publisher
Language
Abstract
Data farming uses simulation modeling, high performance computing, and analysis to examine questions of interest with large possibility spaces.This methodology allows for the examination of whole landscapes of potential outcomes and provides the capability of executing enough experiments so that outlets might be captured and examined for insights. This capability may be quite informative when used to examine the plethora of "What if?" questions that result when examining potential scenarios that our forces may face in the uncertain world of the future. Many of theses scenarios most certainly will be challenging and solutions may depend on interagency and international collaboration as well as the need for inter-disciplinary scientific inquiry preceding these events. In this paper, we describe data farming and illustrate it in the context of application to questions inherent to military decision-making as we consider alternate future scenarios.
Type
Conference Paper
Description
SEE ParentDocumentRecord|Ntt=20130008625 "Selected Papers Presented at MODSIM World 2011 Conference and Expo"; p. 27-36; NASA/CP-2012-217326
Series/Report No
Department
Organization
Langley Research Center
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.