Uncertainty in Artificial Intelligence
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On the Acceptability of Arguments in Preference-Based Argumentation
Leila Amgoud, Claudette Cayrol
Abstract:
Argumentation is a promising model for reasoning with uncertain knowledge. The key concept of acceptability enables to differentiate arguments and counterarguments: The certainty of a proposition can then be evaluated through the most acceptable arguments for that proposition. In this paper, we investigate different complementary points of view: - an acceptability based on the existence of direct counterarguments, - an acceptability based on the existence of defenders. Pursuing previous work on preference-based argumentation principles, we enforce both points of view by taking into account preference orderings for comparing arguments. Our approach is illustrated in the context of reasoning with stratified knowldge bases.
Keywords: Argumentation, preference orderings, uncertainty evaluation.
Pages: 1-7
PS Link:
PDF Link: /papers/98/p1-amgoud.pdf
BibTex:
@INPROCEEDINGS{Amgoud98,
AUTHOR = "Leila Amgoud and Claudette Cayrol",
TITLE = "On the Acceptability of Arguments in Preference-Based Argumentation",
BOOKTITLE = "Proceedings of the Fourteenth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-98)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1998",
PAGES = "1--7"
}


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