A General Framework for Reasoning On Inconsistency

• Κύριοι συγγραφείς: Martinez, Maria Vanina (Συγγραφέας), Molinaro, Cristian (Συγγραφέας), Subrahmanian, V.S (Συγγραφέας), Amgoud, Leila (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2013.
• Σειρά: SpringerBriefs in Computer Science,
• Θέματα: Computer science.; Computer logic.; Mathematical logic.; 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 Languages.

 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. 

 Introduction and Preliminary Concepts -- A General Framework for Handling Inconsistency -- Algorithms -- Handling Inconsistency in Monotonic Logics -- Link with Existing Approaches -- Conclusions.