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UAI
2008

Explanation Trees for Causal Bayesian Networks

12 years 3 months ago
Explanation Trees for Causal Bayesian Networks
Bayesian networks can be used to extract explanations about the observed state of a subset of variables. In this paper, we explicate the desiderata of an explanation and confront them with the concept of explanation proposed by existing methods. The necessity of taking into account causal approaches when a causal graph is available is discussed. We then introduce causal explanation trees, based on the construction of explanation trees using the measure of causal information ow (Ay and Polani, 2006). This approach is compared to several other methods on known networks.
Ulf H. Nielsen, Jean-Philippe Pellet, André
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2008
Where UAI
Authors Ulf H. Nielsen, Jean-Philippe Pellet, André Elisseeff
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