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- DescriptionThis SpringerBrief proposes a general framework for reasoning about inconsistency in a wide variety of logics, including inconsistency resolution methods that have t yet been studied. The proposed framework allows users to specify preferences on how to resolve inconsistency when there are multiple ways to do so. This empowers users to resolve inconsistency in data leveraging both their detailed kwledge of the data as well as their application needs. The brief shows that the framework is well-suited to handle inconsistency in several logics, and provides algorithms to compute preferred options. Finally, the brief shows that the framework t only captures several existing works, but also supports reasoning about inconsistency in several logics for which such methods exist today.
- Author(s)Cristian Molinaro,Leila Amgoud,Maria Vanina Martinez,V. S. Subrahmanian
- PublisherSpringer-Verlag New York Inc.
- Date of Publication20/03/2013
- SubjectComputing: Professional & Programming
- Series TitleSpringerBriefs in Computer Science
- Place of PublicationNew York, NY
- Country of PublicationUnited States
- ImprintSpringer-Verlag New York Inc.
- Content Notebiography
- Weight108 g
- Width156 mm
- Height234 mm
- Spine2 mm
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