40. An apparatus for automatically evaluating Bayesian network models for decision support as set forth in claim 39 , wherein the conclusion nodes are weighted by weights representing their importance; whereby the accuracy of the BN model's propensity to yield proper conclusions may be weighted for particular conclusions based on their relative importance.
40. An apparatus for automatically evaluating Bayesian network models for decision support as set forth in claim 39 , wherein the conclusion nodes are weighted by weights representing their importance; whereby the accuracy of the BN model's propensity to yield proper conclusions may be weighted for particular conclusions based on their relative importance. 41. An apparatus for automatically evaluating Bayesian network models for decision support as set forth in claim 40 , wherein the BN model models a diagnostic domain, with the conclusion nodes representing component failures or diseases, the evidence nodes representing recognizable symptoms of those failures or diseases, and the auxiliary nodes representing additional information useful, in conjunction with the evidence nodes and conclusion nodes.