##Structure -bayesnet.py : The underlying probability engine -most_relevant_explanation.py : MRE finding algorithm (Yuan) -explanation_tree.py : Finding explanation using explanation tree algorithm (Flores) -causal_explanation_tree.py : Causal explanation tree algorithm (Pellet) -most_probable_expalnation.py : Classic MRE method, MAP(TODO) -lake.py : Example -drug.py : Example from Pearl(2000) -circuit.py : Example from Yuan(2009) -asia.py : Example from Pellet(2008) -academe.py : Example used in Pellet, Yuan.
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