A computational model to predict human behavior

Scientists from the U.S. Army Research Laboratory have developed for the first time, an analytic model to show how groups of people impact individual behavior. Prior to this, no one had taken the computational information from a collective model and used it to exactly determine an individual's behavior.

This discovery was the product of ongoing research to model how an individual adapts to group behavior. ARL's program in network science is working to determine collective group behavior evolving from the dynamic behavior of individuals.

In the past, the collaborative work of researchers at ARL concentrated on building and deducing the output of large-scale computer models of complex dynamic networks, from which, group properties such as swarming, collective intelligence and decision making could be determined.


#Behavior #Computation #Model

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