We consider the problem of reasoning over probabilistic knowledge bases with different priority levels. While we assume that the knowledge is consistent on each level, there can be inconsistencies between different levels. Examples arise naturally in hierarchical domains when general knowledge is overwritten with more specific information. We extend recent results on inconsistency-tolerant probabilistic reasoning to propose a solution for this problem.
CITATION STYLE
Potyka, N. (2015). Reasoning over linear probabilistic knowledge bases with priorities. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9310, pp. 121–136). Springer Verlag. https://doi.org/10.1007/978-3-319-23540-0_9
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