In the policy making process, one of the important steps is the consideration of the consequences deriving from the alternative choices. For the case of information policy, the present research has begun the development of a methodology for doing so. The methodology chosen was modeling. Information policy modeling serves the dual purposes of further clarification of the phenomenon under study along with the provision of an avenue for quantitative analysis through computer simulation. Following an examination of three policy model configurations--maximization, optimization, and adaptive--the adaptive or cybernetic representation was chosen as the most appropriate way to represent the information policy making process. In addition to the intended role of modeling in this research setting, another perhaps more important function emerged. It was the use of modeling as a tool for better understanding of information policy itself. A list of references is attached. (Author/SW)