Uncertainty in Artificial Intelligence
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Lattice-Based Graded Logic: a Multimodal Approach
Philippe Chatalic, Christine Froidevaux
Abstract:
Experts do not always feel very, comfortable when they have to give precise numerical estimations of certainty degrees. In this paper we present a qualitative approach which allows for attaching partially ordered symbolic grades to logical formulas. Uncertain information is expressed by means of parameterized modal operators. We propose a semantics for this multimodal logic and give a sound and complete axiomatization. We study the links with related approaches and suggest how this framework might be used to manage both uncertain and incomplere knowledge.
Keywords:
Pages: 33-40
PS Link:
PDF Link: /papers/92/p33-chatalic.pdf
BibTex:
@INPROCEEDINGS{Chatalic92,
AUTHOR = "Philippe Chatalic and Christine Froidevaux",
TITLE = "Lattice-Based Graded Logic: a Multimodal Approach",
BOOKTITLE = "Proceedings of the Eighth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-92)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Mateo, CA",
YEAR = "1992",
PAGES = "33--40"
}


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