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| Authors: | Juan Carlos Nieves: Department of Computer Science, Umeå University, Umeå, Sweden |
| | Mauricio Osorio: Universidad de las Américas - Puebla, Dept. De Actuaría y Matemáticas, Sta. Catarina Mártir, Cholula, Puebla, 72820 México |
| | Helena Lindgren: Department of Computer Science, Umeå University, Umeå, Sweden |
| Publication title: | Managing Inconsistent Possibilistic Knowledge Bases by An Argumentation Approach |
| Conference: | The 27th annual workshop of the Swedish Artificial Intelligence Society (SAIS), 14–15 May 2012, Örebro, Sweden |
| Publication type: | Abstract and Fulltext |
| Issue: | 071 |
| Article No.: | 003 |
| Abstract: | Inconsistent knowledge bases usually are regarded as an epistemic hell that have to be avoided at all costs. However, many times it is di cult o
impossible to stay away of managing inconsistent knowledge bases. In this paper, we introduce an argumentation-based approach in order to manage inconsistent possibilistic knowledge bases. This approach will be exible enough for managing inconsistenpossibilistic models and the non-existence of possibilistic models of a possibilistic logic program. |
| Language: | English |
| Year: | 2012 |
| No. of pages: | 7 |
| Pages: | 17-23 |
| Series: | Linköping Electronic Conference Proceedings |
| ISSN (print): | 1650-3686 |
| ISSN (online): | 1650-3740 |
| File: | http://www.ep.liu.se/ecp/071/003/ecp12071003.pdf |
| Available: | 2012-05-14 |
| Publisher: | Linköping University Electronic Press, Linköpings universitet |
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REFERENCE TO THIS PAGE | Juan Carlos Nieves, Mauricio Osorio, Helena Lindgren (2012). Managing Inconsistent Possibilistic Knowledge Bases by An Argumentation Approach, The 27th annual workshop of the Swedish Artificial Intelligence Society (SAIS), 14–15 May 2012, Örebro, Sweden http://www.ep.liu.se/ecp_article/index.en.aspx?issue=071;article=003 (accessed 5/22/2013) |
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Ph.D., Lic. Theses
