Abstract
Simulating collective behaviors of human groups with interactions has essential importance in education, economics, psychology and other social science fields. This paper, we present a Voronoi diagram based method for modelling and simulating group learning behaviors. The method follows a set of learning rules to update individuals’ behaviors during evolution, and uses Voronoi diagram to compute and observe the change of each individual’s behaviors as well as the visualized long-term behaviors of the group at higher group level. We use a large number of experiments to show that the modelled group behaviors with certain learning rules can reach some limit states under restrictive conditions. In addition, we also discussed how the evolvement of group behaviors is affected by qualified rate in initial condition in the sense of statistics and analyzed and explained the special phenomenons appearing in the dynamic evolvement.
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Gao, Xm., Pang, My. (2010). Modelling and Simulating Dynamic Evolvement of Collective Learning Behaviors by Voronoi Diagram. In: Li, K., Jia, L., Sun, X., Fei, M., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Lecture Notes in Computer Science(), vol 6330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15615-1_64
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DOI: https://doi.org/10.1007/978-3-642-15615-1_64
Publisher Name: Springer, Berlin, Heidelberg
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