39. An apparatus for automatically evaluating Bayesian network models for decision support as set forth in claim 38 , wherein the outputted representation is a graphical representation in the form of a two-dimensional intensity matrix and a three-dimensional bar chart.
39. An apparatus for automatically evaluating Bayesian network models for decision support as set forth in claim 38 , wherein the outputted representation is a graphical representation in the form of a two-dimensional intensity matrix and a three-dimensional bar chart. 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.