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Title: A model for cultural attributes
Authors: Seychell, Dylan
Dingli, Alexiei
Debono, Carl James
Keywords: Logistic regression analysis
Human behavior -- Mathematical models
Computer simulation
Issue Date: 2012
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Seychell, D., Dingli, A., & Debono, C. J. (2012). A model for cultural attributes. 2012 Sixth UKSim/AMSS European Symposium on Computer Modeling and Simulation, Valletta. 277-282.
Abstract: One of the challenges when predicting human behavior is the variation of the same behavior in relation to the culture of the individual in question. This paper demonstrates a technique that can be employed in order to predict certain individual cultural attributes based on a regression model that considers age, gender and nationality. The technique makes use of the data set collected through the World Values Survey. An equation based on the Multinomial Logistic Regression was derived in order to extract the values of the designated cultural attributes with respect to the given parameters. This paper briefly explores the World Values Survey together with the theory behind this concept that lead to the composition of a set of equations. A possible application of this model is also presented.
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