A General Framework for Reasoning On Inconsistency [electronic resource] / by Maria Vanina Martinez, Cristian Molinaro, V.S. Subrahmanian, Leila Amgoud.
By: Martinez, Maria Vanina [author.].
Contributor(s): Molinaro, Cristian [author.] | Subrahmanian, V.S [author.] | Amgoud, Leila [author.] | SpringerLink (Online service).
Material type:
BookSeries: SpringerBriefs in Computer Science: Publisher: New York, NY : Springer New York : Imprint: Springer, 2013Description: VII, 45 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781461467502.Subject(s): Computer science | Logic design | Database management | Data mining | Artificial intelligence | Computer Science | Artificial Intelligence (incl. Robotics) | Database Management | Logics and Meanings of Programs | Data Mining and Knowledge Discovery | Mathematical Logic and Formal LanguagesDDC classification: 006.3 Online resources: Click here to access online Introduction and Preliminary Concepts -- A General Framework for Handling Inconsistency -- Algorithms -- Handling Inconsistency in Monotonic Logics -- Link with Existing Approaches -- Conclusions.
This SpringerBrief proposes a general framework for reasoning about inconsistency in a wide variety of logics, including inconsistency resolution methods that have not 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 knowledge 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 not only captures several existing works, but also supports reasoning about inconsistency in several logics for which no such methods exist today.
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