Uncertainty in Artificial Intelligence
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Refining Reasoning in Qualitative Probabilistic Networks
Simon Parsons
In recent years there has been a spate of papers describing systems for probabilisitic reasoning which do not use numerical probabilities. In some cases the simple set of values used by these systems make it impossible to predict how a probability will change or which hypothesis is most likely given certain evidence. This paper concentrates on such situations, and suggests a number of ways in which they may be resolved by refining the representation.
Keywords: Qualitative probability, landmarks, order-of-magnitude reasoning, linguistic values,
Pages: 427-434
PS Link: ftp://ftp.elec.qmw.ac.uk/pub/keag/uncertainty/publications/parsons/conferences/uai95.
PDF Link: /papers/95/p427-parsons.pdf
AUTHOR = "Simon Parsons ",
TITLE = "Refining Reasoning in Qualitative Probabilistic Networks",
BOOKTITLE = "Proceedings of the Eleventh Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-95)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1995",
PAGES = "427--434"

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