This thesis examines those aspects of simulation with digital computers which concern the use of conceptual frameworks (CFs) for the design and implementation of a model. A literature review of CFs which are in common use is conducted. These CFs are applied to a complex modeling problem, a traffic intersection system. A comparative review of the CFs is given based upon the lessons learned from the above applications, and a taxonomy is developed.

The research clarifies the differences that exist among the myriad of CFs in use today. In particular, the comparative review highlights the significant CF features that are necessary for successful model representation of discrete-event systems. The taxonomy provides a useful and meaningful classification of CFs and produces insights in to the conceptual relationships that exist among them. The characteristics of CFs that are desired to enable the development of model specifications that are analyzable, domain independent, and fully translatable are identified. The roles of CFs are better understood and specific potential directions for future research are pinpointed.