Troubleshooting using probabilistic networks and value of information

DOI10.1016/S0888-613X(01)00057-3zbMath1015.68180OpenAlexW2078117166MaRDI QIDQ1347871

Taner Bilgiç, Korhan Gökçay

Publication date: 15 May 2002

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0888-613x(01)00057-3

zbMATH Keywords

influence diagramsprobabilistic networkstroubleshooting

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (1)

Decision-theoretic troubleshooting: hardness of approximation

Uses Software

• HUGIN

Cites Work

• Unnamed Item
• Approximating probabilistic inference in Bayesian belief networks is NP- hard
• The computational complexity of probabilistic inference using Bayesian belief networks
• The SACSO methodology for troubleshooting complex systems

This page was built for publication: Troubleshooting using probabilistic networks and value of information