Abstract
One of the main tasks that can be performed with a Bayesian Network (BN) is the probabilistic inference of unobserved values given evidence. Recently, a framework for physical simulation of critical infrastructures was introduced, accounting for interdependencies and uncertainty; this framework includes the modeling of the interconnected components of a critical infrastructure network as a BN. In this paper we address the problem of the triangulation of the resulting BN, that is the first step in many exact inference algorithms.
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Franchin, P., Laura, L. (2014). Probabilistic Inference in the Physical Simulation of Interdependent Critical Infrastructure Systems. In: Bondavalli, A., Ceccarelli, A., Ortmeier, F. (eds) Computer Safety, Reliability, and Security. SAFECOMP 2014. Lecture Notes in Computer Science, vol 8696. Springer, Cham. https://doi.org/10.1007/978-3-319-10557-4_36
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DOI: https://doi.org/10.1007/978-3-319-10557-4_36
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