2012
DOI: 10.1007/978-3-642-29461-7_27
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Ascribing Causality from Interventional Belief Function Knowledge

Abstract: Abstract. In many Artificial Intelligence applications, causality is an important issue. Interventions are external manipulations that alter the natural behavior of the system. They have been used as tools to distinguish causal relations from spurious correlations. This paper proposes a model allowing the detection of causal relationships under the belief function framework resulting from acting on some events. Facilitation and justification in the presence of interventions, concepts complementary to the conce… Show more

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