This paper presents an approach to the explicit integration of uncertain reasoning mechanisms into conventional KADS-based models of expertise. We assume that uncertainty is present in the model of expertise in the sense that terminological knowledge is available but some assertions cannot be determined due to uncertainty. These gaps can be bridged in a three-step inference scheme using a general model of uncertainty in which knowledge is represented as sets of hypotheses
