2. A method for automatically evaluating Bayesian network models for decision support as set forth in claim 1 , wherein the BN model further includes at least one auxiliary node causally linked between at least one evidence node and at least one conclusion node.
3. A method for automatically evaluating Bayesian network models for decision support as set forth in claim 2 , wherein the sampling is performed by a Monte Carlo algorithm.