Patent ID: 6957202

Claim:
A computer-implemented method for diagnosing a problem in a product using a Bayesian super model data structure which stores a predetermined set of problems, predetermined criteria for identifying problems in the set, and sub model data problems, predetermined criteria for identifying problems in the set, and sub model data structures including actions for addressing the problems in the set, the method comprising: receiving user input including criteria for identifying the problem; comparing the received criteria with the predetermined criteria for identifying problems in the set of the super model data structure; responsive to a match in criteria within an acceptable margin, selecting the problem from the set associated with the matched criteria; selecting a sub model data structure storing actions for addressing the selected problem based upon the following predetermined criteria stored in the super model: a probability of the execution of one or more actions stored in the sub model solving the selected problem and a cost of the execution of the one or more actions; and executing one or more actions stored in the sub model.