Article ID: | iaor1988356 |
Country: | United States |
Volume: | 34 |
Issue: | 12 |
Start Page Number: | 1425 |
End Page Number: | 1440 |
Publication Date: | Dec 1988 |
Journal: | Management Science |
Authors: | Burns James R., Morgeson J. Darrell |
Keywords: | artificial intelligence |
Concepts from software engineering and knowledge engineering are incorporated into discrete, next-event simulation. The existing, conventional world-view utilized within discrete simulation is reviewed. A construct is presented that makes existing discrete simulation world-views more robust for problems involving endogeneous decision-making. The use of knowledge bases and inference engines as mechanisms for modeling such decision making is presented. The result is a simulation world view that is able to simulate systems involving intelligent decision-making entities (actors) whose decisions strongly impact the state of the system.