%0 Journal Article %1 Benferhat1995 %A Benferhat, Salem %A Dubois, Didier %A Prade, Henri %D 1995 %J Proc. IJCAI %K kiwi %P 7 %T How to infer from inconsistent beliefs without revising %X This paper investigates several methods for coping with inconsistency caused by multiple source information, by introducing suitable consequence relations capable of inferring non-trivial conclusions from an inconsistent stratified knowledge base. Some of these methods presuppose a revision step, namely a selection of one or several consistent subsets of formulas, and then classical inference is used for inferring from these subsets. Two alternative methods that do not require any revision step ...

@article{Benferhat1995, abstract = {This paper investigates several methods for coping with inconsistency caused by multiple source information, by introducing suitable consequence relations capable of inferring non-trivial conclusions from an inconsistent stratified knowledge base. Some of these methods presuppose a revision step, namely a selection of one or several consistent subsets of formulas, and then classical inference is used for inferring from these subsets. Two alternative methods that do not require any revision step ...}, added-at = {2008-11-14T13:33:38.000+0100}, author = {Benferhat, Salem and Dubois, Didier and Prade, Henri}, biburl = {https://www.bibsonomy.org/bibtex/236115d0eebd954d76f5a3eee5ee10aea/fraktalek}, citeulike-article-id = {3508732}, interhash = {b232a0c058ea9b9ab8302e351db11fd5}, intrahash = {36115d0eebd954d76f5a3eee5ee10aea}, journal = {Proc. IJCAI}, keywords = {kiwi}, pages = 7, posted-at = {2008-11-13 14:13:53}, priority = {2}, timestamp = {2008-11-14T13:33:40.000+0100}, title = {How to infer from inconsistent beliefs without revising}, year = 1995 }