Structural and behavioral equivalence of simulation models
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Qualitative modeling and simulation: promise or illusion
WSC '91 Proceedings of the 23rd conference on Winter simulation
Maintaining knowledge about temporal intervals
Communications of the ACM
The implementation of temporal intervals in qualitative simulation graphs
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Estimating the probability of an event execution in qualitative discrete event simulation
Proceedings of the Winter Simulation Conference
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A real world system is full of uncertainties and more than often the parameters, processes or events under study are poorly understood. In order to study a real world system, we often have to make a set of assumptions about how it works using statistical, mathematical or logical relationships. Qualitative discrete event simulation involves the development of simulation models which require less assumptions, less data requirements and yet more robust. This paper presents the concepts involved in the development and implementation of qualitative discrete event simulation models and algorithms.