Dettagli Pubblicazione
Autori: | Daniele Codetta Raiteri |
Luigi Portinale |
Area Scientifica: | Diagnosis |
Uncertain Reasoning |
Probabilistic Graphical Models |
Dependability and Reliability |
Titolo: | A GSPN based tool to inference Generalized Continuous Time Bayesian Networks |
Apparso su: | Proceedings of the International Conference on Performance Evaluation Methodologies and Tools |
Editore: | ICST |
Anno: | 2013 |
Tipo Pubblicazione: | Paper on Proceedings International Conference |
URL: | http://dx.doi.org/10.41...icst.valuetools.2013.254400 |
Sommario: | We present a software tool for the analysis of Generalized Continuous Time Bayesian Networks (GCTBN) which extend CTBN introducing in addition to continuous time de- layed variables, non delayed or “immediate” variables whose evolution is conditionally and immediately determined by the values of other variables in the model. The tool is based on the conversion of a GCTBN model into a Generalized Stochastic Petri Nets (GSPN) which is an actual mean to perform the inference analysis) of the GCTBN. |