Suboptimal Restraint Use as an Emergent Norm via Social Influence

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 217)


Suboptimal restraint use is a prevalent problem worldwide. In developed countries injuries and deaths related to vehicle accidents persist despite increases in restraint use. In this study we investigate the emergence of patterns of restraint use in groups of agents and the population at large. Using age as an influential factor we simulate random encounters between group members where dominant individuals repeatedly alter the knowledge of less influential individuals. Belief spaces implemented as part of a cultural algorithm are used to preserve prevalent patterns of restraint use both at the group and population levels. The objective is to demonstrate restraint selection and use patterns emerging within a population and to determine whether a focus on influential members might have a positive effect towards optimal restraint use. We demonstrate that prominent patterns of behavior similar to the influential members of the groups do emerge both in the presence of social and cultural influence.


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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  1. 1.School of Computer ScienceUniversity of WindsorWindsorCanada

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