Abstract
This paper describes a tool for anticipating cultural behavior called, “CulBN.” The tool uses Bayesian belief networks to represent distributions of causal knowledge spread across members of cultural groups. CulBN simulations allow one to anticipate how changes in beliefs affect decisions and actions at the cultural level of analysis. An example case from a study of Afghan decision making is used to illustrate the functionality of the tool.
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Sieck, W.R., Simpkins, B.G., Rasmussen, L.J. (2011). A Cultural Belief Network Simulator. In: Salerno, J., Yang, S.J., Nau, D., Chai, SK. (eds) Social Computing, Behavioral-Cultural Modeling and Prediction. SBP 2011. Lecture Notes in Computer Science, vol 6589. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19656-0_40
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DOI: https://doi.org/10.1007/978-3-642-19656-0_40
Publisher Name: Springer, Berlin, Heidelberg
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