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Communication Dans Un Congrès Année : 1993

Argumentative inference in uncertain and inconsistent knowledge base

Résumé

This paper presents and discusses several methods for reasoning from inconsistent knowledge bases. A so-called argumentative-consequence relation taking into account the existence of consistent arguments in favor of a conclusion and the absence of consistent arguments in favor of its contrary, is particularly investigated. Flat knowledge bases, i.e. without any priority between their elements, as well as prioritized ones where some elements are considered as more strongly entrenched than others are studied under different consequence relations. Lastly a paraconsistent-like treatment of prioritized knowledge bases is proposed, where both the level of entrenchment and the level of paraconsistency attached to a formula are propagated. The priority levels are handled in the framework of possibility theory.
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Dates et versions

hal-04057363 , version 1 (05-04-2023)

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Salem Benferhat, Didier Dubois, Henri Prade. Argumentative inference in uncertain and inconsistent knowledge base. 9th Conference on Uncertainty in Artificial Intelligence (UAI 1993), Jul 1993, Washington, DC, United States. pp.411--419, ⟨10.48550/arXiv.1303.1503⟩. ⟨hal-04057363⟩
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