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Army Scientists Develop Computational Model to Predict Human Behavior


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This discovery was the product of ongoing research to model how an individual adapts to group behavior.

Researchers at the U.S. Army Research Laboratory have developed an analytic model that can predict how groups of people influence the behavior of individuals.

Credit: R&D Magazine

U.S. Army Research Laboratory (ARL) scientists have developed an analytic model to show how groups of people influence individual behavior.

The model quantitatively incorporates the dynamic behavior of the group, showing the analytic solution to this kind of equation coincides with predictions of the large-scale computer simulations of group dynamics.

The model is comprised of many interacting individuals that have a 'yes' or 'no' decision to make.

When individuals are alone, they often cannot make up their minds, switching back and forth between the two options; but when they start talking to other individuals, the information exchange results in the numerical calculation using the computer model to find people hold their opinions for a significantly longer time.

ARL's Bruce West says this research could lead to a new area of study dovetailing network science and fractional calculus.

From R&D Magazine
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Abstracts Copyright © 2018 Information Inc., Bethesda, Maryland, USA


 

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