1J. Stefan Institute, Artificial Intelligence Lab., Jamova 39, 61000 Ljubljana, Slovenia Phone:(+ 38)(61) 1773 272, Fax:(+ 38)(61) 1258-158 2Faculty of Electr. Eng. and …

Understanding of discrete event simulation systems is a di cult task. Our approach involves consultation with a domain expert, and the use of discrete event simulation model and machine learning as tools for the intelligent analysis of simulated system. Current methods for the analysis and interpretation of such systems are restricted to statistical techniques that say much about the reliability of an output, but little about the output inter connectivity. The objective of our work is to improve the ability to interpret the model to the level of explanation that might loosely be described asHow the simulated system works". The new interpretation techniques are based on machine learning that includes classi cation tree chaining.How the simulated system works" is important for a decision maker's understanding of the system in terms of relationships between the various parameters, the utilisation of resources and the location of …