Reasoning with Conflicting Information in Artificial Intelligence and Database Theory

dc.contributor.authorPradhan, Shekharen_US
dc.date.accessioned2004-05-31T21:09:24Z
dc.date.available2004-05-31T21:09:24Z
dc.date.created2001-01en_US
dc.date.issued2001-09-05en_US
dc.description.abstractWe develop C4 a logic for reasoning with information containing non-logical conflicts, where the information is encoded in the form of normal logic programs and the conflicts are represented using a construct called "contestation." We prove that the C4 logic is inferentially conflict-free in the sense that the set of entailments of a normal logic program augmented with a set of contestations are guaranteed to be free of the conflicts specified by the set of contestations. We provide a sound and complete procedure for answering ground queries to a ground and finite normal logic program augmented with a set of ground contestations. We show that C4 provides a new semantics for normal logic programs that subsumes both the stable model semantics and the well-founded semantics for normal logic programs. We use C4 to provide a new account of integrity constraint satisfaction for databases that may be inconsistent with their integrity constraints. We extend C4 to C5, a five valued logic, which is used to provide a new semantics for extended logic programs. We show that C5 can be used to provide an inferentially conflict-free logic for reasoning with information containing both logical and non-logical conflicts.en_US
dc.format.extent1218215 bytes
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/1903/521
dc.language.isoen_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtComputer Science Department Technical Reportsen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-4211en_US
dc.titleReasoning with Conflicting Information in Artificial Intelligence and Database Theoryen_US
dc.typeTechnical Reporten_US

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