Theories coming from this point of view generally assume an ideal decision maker that seeks to make the best decision by becoming fully informed and able to compute with perfect accuracy, with full alignment to a defined set of goals. This area of theories is focused on addressing the question of "What should we do?", and models and mathematics are applied to problems of improving and characterizing the uncertainty of the information (probabilities) in order to improve the likelihood of a good decision outcome. While in reality, no one is an ideal decision maker, those subscribing to this perspective attempt to move closer to the ideal by building on facts where available, and applying mathematics and computing to help address risk and uncertainty.