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Recency effects (REs) have been well established in memory and probability learning paradigms but have received little attention in category earning research. Extant categorization models predict REs to be unaffected by learning, whereas a functional interpretation of REs, suggested by results in other domains, predicts that people are able to learn(More)
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(More)
We describe the Aggregative Contingent Estimation System (http://www.forecastingace.com), which is designed to elicit and aggregate forecasts from large, diverse groups of individuals.) is a project funded by the Intelligence Advanced Research Projects Activity. The project, which is a collaboration between seven universities and a private company (Applied(More)
An inherent challenge in understanding behavior in other cultures rests in gathering, analyzing, and representing the relevant cultural concepts, beliefs, and values that drive decisions in those populations. In this chapter, we present Cultural Network Analysis (CNA) as a broad approach that aids in providing the most relevant cognitive aspects of cultural(More)
The World Wide Web is a potentially valuable source of information about the cognitive characteristics of cultural groups. However , attempts to use the Web in the context of cultural modeling activities are hampered by the large-scale nature of the Web and the current dominance of natural language formats. In this paper, we outline an approach to support(More)
The World Wide Web serves as a valuable source of culture-relevant information, which can be used to support cultural modeling and analysis activities. Part of the challenge in exploiting the Web as a source of culture-relevant information relates to the need to detect and extract information about beliefs, attitudes, and values from a variety of different(More)
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