Uncertainty in Artificial Intelligence
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Using Dempster-Shafer Theory in Knowledge Representation
Alessandro Saffiotti
In this paper, we suggest marrying Dempster-Shafer (DS) theory with Knowledge Representation (KR). Born out of this marriage is the definition of "Dempster-Shafer Belief Bases", abstract data types representing uncertain knowledge that use DS theory for representing strength of belief about our knowledge, and the linguistic structures of an arbitrary KR system for representing the knowledge itself. A formal result guarantees that both the properties of the given KR system and of DS theory are preserved. The general model is exemplified by defining DS Belief Bases where First Order Logic and (an extension of) KRYPTON are used as KR systems. The implementation problem is also touched upon.
Keywords: null
Pages: 417-431
PS Link:
PDF Link: /papers/90/p417-saffiotti.pdf
AUTHOR = "Alessandro Saffiotti ",
TITLE = "Using Dempster-Shafer Theory in Knowledge Representation",
BOOKTITLE = "Uncertainty in Artificial Intelligence 6 Annual Conference on Uncertainty in Artificial Intelligence (UAI-90)",
PUBLISHER = "Elsevier Science",
ADDRESS = "Amsterdam, NL",
YEAR = "1990",
PAGES = "417--431"

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