A survey of relevant literature serves as the basis for an assessment of research on integration of decision support systems and artificial intelligence. The analysis identifies the need for a unifying framework with which to direct such research. The characteristics required for such a framework are highlighted and shown to be well-suited to the artificial intelligence concept of deep knowledge. A deep knowledge architecture for intelligent decision support systems is presented and proposed as a basis for integration of the two disciplines.