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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 dicult 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

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 10/24/2014)