A General Framework for Reasoning On Inconsistency

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Database Management, General Computing
Cover of the book A General Framework for Reasoning On Inconsistency by Maria Vanina Martinez, Cristian Molinaro, V.S. Subrahmanian, Leila Amgoud, Springer New York
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Author: Maria Vanina Martinez, Cristian Molinaro, V.S. Subrahmanian, Leila Amgoud ISBN: 9781461467502
Publisher: Springer New York Publication: March 20, 2013
Imprint: Springer Language: English
Author: Maria Vanina Martinez, Cristian Molinaro, V.S. Subrahmanian, Leila Amgoud
ISBN: 9781461467502
Publisher: Springer New York
Publication: March 20, 2013
Imprint: Springer
Language: English

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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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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