Paper
2 May 2007 Modeling and predicting abstract concept or idea introduction and propagation through geopolitical groups
Holger M. Jaenisch, James W. Handley, Michael L. Hicklen
Author Affiliations +
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Holger M. Jaenisch, James W. Handley, and Michael L. Hicklen "Modeling and predicting abstract concept or idea introduction and propagation through geopolitical groups", Proc. SPIE 6563, Evolutionary and Bio-inspired Computation: Theory and Applications, 656308 (2 May 2007); https://doi.org/10.1117/12.720162
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KEYWORDS
Data modeling

Mathematical modeling

Gallium

Data archive systems

Evolutionary algorithms

Fourier transforms

Cognitive modeling

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