Abstract
Directed evidential networks are powerful tools for knowledge representation and uncertain reasoning in a belief function framework. In this paper, we propose an algorithm for the propagation of belief functions in the singly-connected directed evidential networks, when each node is associated with one conditional belief function distribution specified given all its parents. © 2014 Springer International Publishing.
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CITATION STYLE
Laâmari, W., & Yaghlane, B. B. (2014). Reasoning in singly-connected directed evidential networks with conditional beliefs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8445 LNCS, pp. 221–236). Springer Verlag. https://doi.org/10.1007/978-3-319-07064-3_18
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