Uncertainty in Artificial Intelligence
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Enhancing QPNs for Trade-off Resolution
Silja Renooij, Linda van der Gaag
Abstract:
Qualitative probabilistic networks have been introduced as qualitative abstractions of Bayesian belief networks. One of the major drawbacks of these qualitative networks is their coarse level of detail, which may lead to unresolved trade-offs during inference. We present an enhanced formalism for qualitative networks with a finer level of detail. An enhanced qualitative probabilistic network differs from a regular qualitative network in that it distinguishes between strong and weak influences. Enhanced qualitative probabilistic networks are purely qualitative in nature, as regular qualitative networks are, yet allow for efficiently resolving trade-offs during inference.
Keywords: Qualitative Probabilistic Networks, Trade-off resolution
Pages: 559-566
PS Link:
PDF Link: /papers/99/p559-renooij.pdf
BibTex:
@INPROCEEDINGS{Renooij99,
AUTHOR = "Silja Renooij and Linda van der Gaag",
TITLE = "Enhancing QPNs for Trade-off Resolution",
BOOKTITLE = "Proceedings of the Fifteenth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-99)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1999",
PAGES = "559--566"
}


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