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- W2745069163 abstract "Decision theoretic troubleshooting combines Bayesian networks and cost estimates to obtain optimal or near optimal decisions in domains with inherent uncertainty. We use the well-known A∗ algorithm to nd optimal solutions in troubleshooting models where different actions may x the same fault. We prove that a heuristic function proposed by Vomlelova and Vomlel is monotone in models without questions, and we report on recent work on pruning. Furthermore, we experimentally investigate a hybrid approach where A∗ is combined with a method that sometimes avoid branching. The method is based on an analysis of the dependency between actions as suggested by Koca and Bilgic." @default.
- W2745069163 created "2017-08-17" @default.
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- W2745069163 date "2008-01-01" @default.
- W2745069163 modified "2023-09-27" @default.
- W2745069163 title "A* Wars: The Fight for Improving A* Search for Troubleshooting with Dependent Actions" @default.
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