Reasoning about change: time and causation from the standpoint of artificial intelligence
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Artificial Intelligence
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Information Sciences: an International Journal
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Artificial Intelligence
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General patterns in nonmonotonic reasoning
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Consistent query answers in inconsistent databases
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Answer sets for consistent query answering in inconsistent databases
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Paraconsistent reasoning and preferential entailments by signed quantified Boolean formulae
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IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
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Non-deterministic Distance Semantics for Handling Incomplete and Inconsistent Data
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
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ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
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FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Some simplified forms of reasoning with distance-based entailments
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
Reasoning under inconsistency: A forgetting-based approach
Artificial Intelligence
Similarity-based inconsistency-tolerant logics
JELIA'10 Proceedings of the 12th European conference on Logics in artificial intelligence
A framework for reasoning under uncertainty based on non-deterministic distance semantics
International Journal of Approximate Reasoning
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JELIA'12 Proceedings of the 13th European conference on Logics in Artificial Intelligence
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We introduce a general framework that is based on distance semantics and investigate the main properties of the entailment relations that it induces. It is shown that such entailments are particularly useful for non-monotonic reasoning and for drawing rational conclusions from incomplete and inconsistent information. Some applications are considered in the context of belief revision, information integration systems, and consistent query answering for possibly inconsistent databases.