Uncertainty in Artificial Intelligence
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Conditional Independence in Possibility Theory
Pascale Fonck
Abstract:
Possibilistic conditional independence is investigated: we propose a definition of this notion similar to the one used in probability theory. The links between independence and non-interactivity are investigated, and properties of these relations are given. The influence of the conjunction used to define a conditional measure of possibility is also highlighted: we examine three types of conjunctions: Lukasiewicz - like T-norms, product-like T-norms and the minimum operator.
Keywords:
Pages: 221-226
PS Link:
PDF Link: /papers/94/p221-fonck.pdf
BibTex:
@INPROCEEDINGS{Fonck94,
AUTHOR = "Pascale Fonck ",
TITLE = "Conditional Independence in Possibility Theory",
BOOKTITLE = "Proceedings of the Tenth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-94)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1994",
PAGES = "221--226"
}


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