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. © 2011 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Sieck, W. R., Simpkins, B. G., & Rasmussen, L. J. (2011). A cultural belief network simulator. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6589 LNCS, pp. 284–291). https://doi.org/10.1007/978-3-642-19656-0_40
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