Uncertainty in Artificial Intelligence
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Reasoning With Uncertain Knowledge
A. Craddock, Roger Browse
Abstract:
A model of knowledge representation is described in which propositional facts and the relationships among them can be supported by other facts. The set of knowledge which can be supported is called the set of cognitive units, each having associated descriptions of their explicit and implicit support structures, summarizing belief and reliability of belief. This summary is precise enough to be useful in a computational model while remaining descriptive of the underlying symbolic support structure. When a fact supports another supportive relationship between facts we call this meta-support. This facilitates reasoning about both the propositional knowledge. and the support structures underlying it.
Keywords: Meta-Support, Knowledge Representation
Pages: 57-62
PS Link:
PDF Link: /papers/86/p57-craddock.pdf
BibTex:
@INPROCEEDINGS{Craddock86,
AUTHOR = "A. Craddock and Roger Browse",
TITLE = "Reasoning With Uncertain Knowledge",
BOOKTITLE = "Proceedings of the Second Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-86)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "1986",
PAGES = "57--62"
}


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