15. A method for training a control system using structured differential learning, the method comprising: comparing each response information set in a plurality of response information sets from a structured differential learning module to a corresponding ground truth data element, wherein each response information set indicates a set of responses generated by the structured differential learning module with respect to a set of features extracted from a set of input data, wherein the corresponding ground truth data element indicates a correct response with respect to the set of features, and wherein each response information set is associated with a trace information set comprising at least an one or more alternative values and a feature analyzing component identifier associated with a feature analyzing component that the response information set was based on and that is adjustable by the one or more alternative values; classifying, based on the comparing, each response information set as one of correct and incorrect; and for each incorrect response information set, selecting an alternative value for adjusting the feature analyzing component in the trace information set based on all the alternative values for each response information set that is one of correct and incorrect and comprises the same feature analyzing component in the trace information set.
15. A method for training a control system using structured differential learning, the method comprising: comparing each response information set in a plurality of response information sets from a structured differential learning module to a corresponding ground truth data element, wherein each response information set indicates a set of responses generated by the structured differential learning module with respect to a set of features extracted from a set of input data, wherein the corresponding ground truth data element indicates a correct response with respect to the set of features, and wherein each response information set is associated with a trace information set comprising at least an one or more alternative values and a feature analyzing component identifier associated with a feature analyzing component that the response information set was based on and that is adjustable by the one or more alternative values; classifying, based on the comparing, each response information set as one of correct and incorrect; and for each incorrect response information set, selecting an alternative value for adjusting the feature analyzing component in the trace information set based on all the alternative values for each response information set that is one of correct and incorrect and comprises the same feature analyzing component in the trace information set. 22. The method of claim 15 , further comprising: adjusting, in response to the selecting, the feature analyzing component within the trace information set for at least one of the incorrect response information sets with the alternative value that has been selected.