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» Computing Minimal Models, Stable Models, and Answer Sets
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AMAI
2006
Springer
13 years 5 months ago
Possibilistic uncertainty handling for answer set programming
In this work, we introduce a new framework able to deal with a reasoning that is at the same time non monotonic and uncertain. In order to take into account a certainty level assoc...
Pascal Nicolas, Laurent Garcia, Igor Stépha...
ASP
2001
Springer
13 years 9 months ago
Useful Transformations in Answer set programming
We define a reduction system Ë¿ which preserves the stable semantics. This system includes two types of transformation rules. One type (which we call ˾) preserves the stable...
Mauricio Osorio, Juan Carlos Nieves, Chris Giannel...
ASP
2005
Springer
13 years 11 months ago
Possibilistic Stable Model Computing
Possibilistic Stable model Semantics is an extension of Stable Model Semantics that allows to merge uncertain and non monotonic reasoning into a unique framework. To achieve this a...
Pascal Nicolas, Claire Lefèvre
SCCC
2005
IEEE
13 years 11 months ago
Optimizing repair programs for consistent query answering
Databases may not satisfy integrity constraints (ICs) for several reasons. Nevertheless, in most of the cases an important part of the data is still consistent wrt certain desired...
Mónica Caniupán Marileo, Leopoldo E....
BIRTHDAY
2010
Springer
13 years 6 months ago
Thirteen Definitions of a Stable Model
Stable models of logic programs have been studied by many researchers, mainly because of their role in the foundations of answer set programming. This is a review of some of the de...
Vladimir Lifschitz