A GSPN based tool to inference Generalized Continuous Time Bayesian Networks

Daniele Codetta Raiteri; Luigi Portinale

7th International Conference on Performance Evaluation Methodologies and Tools

Research Article

A GSPN based tool to inference Generalized Continuous Time Bayesian Networks

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/icst.valuetools.2013.254400,
    author={Daniele Codetta Raiteri and Luigi Portinale},
    title={A GSPN based tool to inference Generalized Continuous Time Bayesian Networks},
    proceedings={7th International Conference on Performance Evaluation Methodologies and Tools},
    publisher={ICST},
    proceedings_a={VALUETOOLS},
    year={2014},
    month={1},
    keywords={generalized continuous time bayesian networks generalized stochastic petri nets inference prediction smoothing},
    doi={10.4108/icst.valuetools.2013.254400}
}

Daniele Codetta Raiteri
Luigi Portinale
Year: 2014
A GSPN based tool to inference Generalized Continuous Time Bayesian Networks
VALUETOOLS
ACM
DOI: 10.4108/icst.valuetools.2013.254400

Daniele Codetta Raiteri¹^,*, Luigi Portinale¹

1: University of Piemonte Orientale

*Contact email: raiteri@mfn.unipmn.it

Abstract

We present a software tool for the analysis of Generalized Continuous Time Bayesian Networks (GCTBN) which extend CTBN introducing in addition to continuous time delayed 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.

Keywords: generalized continuous time bayesian networks generalized stochastic petri nets inference prediction smoothing

Published: 2014-01-09
Publisher: ICST

: http://dx.doi.org/10.4108/icst.valuetools.2013.254400

A GSPN based tool to inference Generalized Continuous Time Bayesian Networks

Abstract

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