Context-specific sign-propagation in qualitative probabilistic networks

作者:

摘要

Qualitative probabilistic networks are qualitative abstractions of probabilistic networks, summarising probabilistic influences by qualitative signs. As qualitative networks model influences at the level of variables, knowledge about probabilistic influences that hold only for specific values cannot be expressed. The results computed from a qualitative network, as a consequence, can be weaker than strictly necessary and may in fact be rather uninformative. We extend the basic formalism of qualitative probabilistic networks by providing for the inclusion of context-specific information about influences and show that exploiting this information upon reasoning has the ability to forestall unnecessarily weak results.

论文关键词:Probabilistic reasoning,Qualitative reasoning,Context-specific independence,Non-monotonicity

论文评审过程:Received 10 December 2001, Available online 14 August 2002.

论文官网地址:https://doi.org/10.1016/S0004-3702(02)00247-3