Reasoning about truth (research note)
Artificial Intelligence
Nonmonotonic reasoning, preferential models and cumulative logics
Artificial Intelligence
Theoretical foundations for non-monotonic reasoning in expert systems
Logics and models of concurrent systems
Information and Computation
What does a conditional knowledge base entail?
Artificial Intelligence
General patterns in nonmonotonic reasoning
Handbook of logic in artificial intelligence and logic programming (vol. 3)
Artificial Intelligence
Possibility Theory, Probability Theory and Multiple-Valued Logics: A Clarification
Annals of Mathematics and Artificial Intelligence
Non-monotonic Syntax-Based Entailment: A Classification of Consequence Relations
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Four-Valued Diagnoses for Stratified Knowledge-Bases
CSL '96 Selected Papers from the10th International Workshop on Computer Science Logic
A knowledge-level account of abduction
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
A functional approach to non-monotonic logic
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
Resource-bounded inference from inconsistent belief bases
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Paraconsistent reasoning and preferential entailments by signed quantified Boolean formulae
ACM Transactions on Computational Logic (TOCL)
Recovering Consistency by Forgetting Inconsistency
JELIA '08 Proceedings of the 11th European conference on Logics in Artificial Intelligence
On the use of matrices for belief revision
PCI'01 Proceedings of the 8th Panhellenic conference on Informatics
Representing paraconsistent reasoning via quantified propositional logic
Inconsistency Tolerance
On the complexity of paraconsistent inference relations
Inconsistency Tolerance
Towards a paradoxical description logic for the semantic web
FoIKS'10 Proceedings of the 6th international conference on Foundations of Information and Knowledge Systems
A preferential framework for trivialization-resistant reasoning with inconsistent information
JELIA'12 Proceedings of the 13th European conference on Logics in Artificial Intelligence
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While three-valued paraconsistent logic is a valuable framework for reasoning under inconsistency, the corresponding basic inference relation is too cautious and fails in discriminating in a fine-grained way the set of expected consequences of belief bases. To address both issues, we point out more refined inference relations. We analyze them from the logical and computational points of view and we compare them with respect to their relative cautiousness.