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Proceedings Paper

Modeling and predicting abstract concept or idea introduction and propagation through geopolitical groups
Author(s): Holger M. Jaenisch; James W. Handley; Michael L. Hicklen
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Paper Abstract

This paper describes a novel capability for modeling known idea propagation transformations and predicting responses to new ideas from geopolitical groups. Ideas are captured using semantic words that are text based and bear cognitive definitions. We demonstrate a unique algorithm for converting these into analytical predictive equations. Using the illustrative idea of "proposing a gasoline price increase of $1 per gallon from $2" and its changing perceived impact throughout 5 demographic groups, we identify 13 cost of living Diplomatic, Information, Military, and Economic (DIME) features common across all 5 demographic groups. This enables the modeling and monitoring of Political, Military, Economic, Social, Information, and Infrastructure (PMESII) effects of each group to this idea and how their "perception" of this proposal changes. Our algorithm and results are summarized in this paper.

Paper Details

Date Published: 2 May 2007
PDF: 10 pages
Proc. SPIE 6563, Evolutionary and Bio-inspired Computation: Theory and Applications, 656308 (2 May 2007); doi: 10.1117/12.720162
Show Author Affiliations
Holger M. Jaenisch, dtech Systems Inc. (United States)
James Cook Univ. (Australia)
James W. Handley, Axiom Corp. (United States)
Michael L. Hicklen, dtech Systems Inc. (United States)

Published in SPIE Proceedings Vol. 6563:
Evolutionary and Bio-inspired Computation: Theory and Applications
Misty Blowers; Alex F. Sisti, Editor(s)

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