A
General Framework for Reasoning On Inconsistency
Martinez, Maria Vanina.
creator
author.
Molinaro, Cristian.
author.
Subrahmanian, V.S.
author.
Amgoud, Leila.
author.
SpringerLink (Online service)
text
xxu
2013
monographic
eng
access
VII, 45 p. online resource.
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.
by Maria Vanina Martinez, Cristian Molinaro, V.S. Subrahmanian, Leila Amgoud.
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
Q334-342
TJ210.2-211.495
006.3
Springer eBooks
SpringerBriefs in Computer Science
9781461467502
http://dx.doi.org/10.1007/978-1-4614-6750-2
http://dx.doi.org/10.1007/978-1-4614-6750-2
130321
20160413122309.0
sulb-eb0022616