Italiano (Italian) English (Inglese)
mercoledì, 4 ottobre 2023


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
Tipo Pubblicazione:Paper on Proceedings International Conference
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.