A General Framework for Reasoning On Inconsistency

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 multipl...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Martinez, Maria Vanina (Autor), Molinaro, Cristian (Autor), Subrahmanian, V.S (Autor), Amgoud, Leila (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:SpringerBriefs in Computer Science,
Temas:
Artificial intelligence.
Database management.
Computer science.
Data mining.
Machine theory.
Artificial Intelligence.
Database Management.
Computer Science Logic and Foundations of Programming.
Data Mining and Knowledge Discovery.
Formal Languages and Automata Theory.
Acceso en línea:Texto Completo
Descripción
Sumario: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.
Descripción Física:VII, 45 p. online resource.
ISBN:9781461467502
ISSN:2191-5776

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