Initial Representations of a problem can be used in the problem structuring process to create a model of the problem at hand. We propose a framework for a computational model of initial representation formation that can be used in the context of a decision support system. Such a model can be used to assist in the intelligence phase of decision making by helping structure the problem and can eventually be extended to provide support to the learning function in a DSS that uses intelligent agents.