Artificial Intelligence
A logical framework for default reasoning
Artificial Intelligence
A mathematical treatment of defeasible reasoning and its implementation
Artificial Intelligence
Inconsistency in possibilistic knowledge bases: to live with it or not live with it
Fuzzy logic for the management of uncertainty
A logic for reasoning with inconsistent knowledge
Artificial Intelligence
Dealing with multi-source information in possibilistic logic
ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
Arguments, contradictions and practical reasoning
ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
Handbook of logic in artificial intelligence and logic programming (vol. 3)
IEEE Transactions on Knowledge and Data Engineering
Handling Uncertainty, Context, Vague Predicates, and Partial Inconsistency in Possibilistic Logic
IJCAI '91 Proceedings of the Workshops on Fuzzy Logic and Fuzzy Control
A Logical Approach to Multi-Sources Reasoning
International Conference Logic at Work on Knowledge Representation and Reasoning Under Uncertainty, Logic at Work
System Z: a natural ordering of defaults with tractable applications to nonmonotonic reasoning
TARK '90 Proceedings of the 3rd conference on Theoretical aspects of reasoning about knowledge
Preferred subtheories: an extended logical framework for default reasoning
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Inconsistency management and prioritized syntax-based entailment
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Reasoning in the presence of inconsistency
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 1
A probabilistic interpretation for lazy nonmonotonic reasoning
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
On the evaluation of argumentation formalisms
Artificial Intelligence
International Journal of Approximate Reasoning
On the measure of conflicts: Shapley Inconsistency Values
Artificial Intelligence
Syntax-based default reasoning as probabilistic model-based diagnosis
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Introduction to inconsistency tolerance
Inconsistency Tolerance
Representing paraconsistent reasoning via quantified propositional logic
Inconsistency Tolerance
Approaches to measuring inconsistent information
Inconsistency Tolerance
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Gradual valuation for bipolar argumentation frameworks
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
A new approach for preference-based argumentation frameworks
Annals of Mathematics and Artificial Intelligence
Parametric properties of ideal semantics
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Rich preference-based argumentation frameworks
International Journal of Approximate Reasoning
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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.