Uncertainty in Artificial Intelligence
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Argumentation as a General Framework for Uncertain Reasoning
John Fox, Paul Krause, Morten Elvang-Gøransson
Abstract:
Argumentation is the process of constructing arguments about propositions, and the assignment of statements of confidence to those propositions based on the nature and relative strength of their supporting arguments. The process is modelled as a labelled deductive system, in which propositions are doubly labelled with the grounds on which they are based and a representation of the confidence attached to the argument. Argument construction is captured by a generalized argument consequence relation based on the ^,--fragment of minimal logic. Arguments can be aggregated by a variety of numeric and symbolic flattening functions. This approach appears to shed light on the common logical structure of a variety of quantitative, qualitative and defeasible uncertainty calculi.
Keywords:
Pages: 428-434
PS Link:
PDF Link: /papers/93/p428-fox.pdf
BibTex:
@INPROCEEDINGS{Fox93,
AUTHOR = "John Fox and Paul Krause and Morten Elvang-Gøransson",
TITLE = "Argumentation as a General Framework for Uncertain Reasoning",
BOOKTITLE = "Proceedings of the Ninth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-93)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1993",
PAGES = "428--434"
}


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