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This paper is a case study meant to demonstrate the relevance of causal summaries for exploratory analysis of human behaviour models. We broadly define a causal summary as a partition of the significant values of the analyzed variables (in our case the simulated motives fear and anger of human beings) into separate contributions by various “causing” factors, such as social influence or external events...
In this article, which is a report of work in progress, we explore the principles of Bayesian causal analysis broadly along the lines formulated by Judea Pearl and other researchers. We apply these principles in the context of human behaviour modelling and aim at developing intelligent data analysis methods for large scale data sets, more specifically for logs from realistic simulations of human behaviour...
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