Abstract: An automatic computer implemented method for making classification decisions to provide a desired policy that optimizes multi-objective tasks with contradicting constrains. Time and resources constrains that correspond to a predetermined level of acceptable cost are defined, as well as a cost function that represents the acceptable cost while considering the constrains. A plurality of analysis and processing modules are deployed in a computational environment, for processing data associated with the computational environment and returning results, along with indications regarding the level of confidence of the results. providing at least one agent for evaluating the results returned by each module, using a neural network being trained to dynamically determine when the level of confidence is sufficient, using one module, and if found insufficient, using more modules.