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Stochastic Timed Influence Nets
- Source :
- 2010 International Conference on Computer Application and System Modeling (ICCASM 2010).
- Publication Year :
- 2010
- Publisher :
- IEEE, 2010.
-
Abstract
- The existing Timed Influence Nets (TIN) framework is assumed that delays on arcs are constant. This constraint may turn out to be unrealistic in many real world situations. The proposed parametric enhancements would overcome the above limitation, and enable a system modeler to specify stochastic delay in a dynamic uncertain situation that the existing TIN fails to capture. The new class of models is named Stochastic Timed Influence Nets (STIN). Both TIN and STIN provide an easy-to-read and compact representation to several time-based probabilistic reasoning paradigms.
Details
- Database :
- OpenAIRE
- Journal :
- 2010 International Conference on Computer Application and System Modeling (ICCASM 2010)
- Accession number :
- edsair.doi...........2d31b0ef1798a63020729eea3299dd76