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.
| Autorius: | Maria Vanina Martinez, Leila Amgoud, V. S. Subrahmanian, Cristian Molinaro, |
| Serija: | SpringerBriefs in Computer Science |
| Leidėjas: | Springer US |
| Išleidimo metai: | 2013 |
| Knygos puslapių skaičius: | 56 |
| ISBN-10: | 1461467497 |
| ISBN-13: | 9781461467496 |
| Formatas: | Knyga minkštu viršeliu |
| Kalba: | Anglų |
| Žanras: | Expert systems / knowledge-based systems |
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