Abstract
A qualitative probabilistic network models the probabilistic relationships between its variables by means of signs. Non-monotonic influences are modelled by the ambiguous sign ‘?’, which indicates that the actual sign of the influence depends on the current state of the network. The presence of influences with such ambiguous signs tends to lead to ambiguous results upon inference. In this paper we introduce the concept of situational influence into qualitative networks. A situational influence is a non-monotonic influence supplemented with a sign that indicates its effect in the current state of the network. We show that reasoning with such situational influences may forestall ambiguous results upon inference; we further show how these influences change as the current state of the network changes.
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© 2003 Springer-Verlag Berlin Heidelberg
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Bolt, J.H., van der Gaag, L.C., Renooij, S. (2003). Introducing Situational Influences in QPNs. In: Nielsen, T.D., Zhang, N.L. (eds) Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2003. Lecture Notes in Computer Science(), vol 2711. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45062-7_9
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DOI: https://doi.org/10.1007/978-3-540-45062-7_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40494-1
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