Rory K. Woodward
Business simulation models have been used for many years as an important element of the corporate planning process. The author suggests that many business simulations are flawed, because they expect exact quantitative values for all data. The author is developing an architecture for an intelligent simulation assistant (ISA), which will aid a decision maker in using a large number of existing business simulations. This paper outlines the architecture, concentrating upon input of non-precise data, simulation using both qualitative and quantitative information, and qualitatively determining causality to aid in debugging of the simulation and construction of explanations.
This paper is not available online