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ECSQARU

2005

Springer

2005

Springer

Abstract. Both in classical logic and in Answer Set Programming, inconsistency is characterized by non existence of a model. Whereas every formula is a theorem for inconsistent set of formulas, an inconsistent program has no answer. Even if these two results seem opposite, they share the same drawback: the knowledge base is useless since one can not draw valid conclusions from it. Possibilistic logic is a logic of uncertainty able to deal with inconsistency in classical logic. By putting on every formula a degree of certainty, it deﬁnes a way to compute, with regard to these degrees, a consistent subset of formulas that can be then used in a classical inference process. In this work, we address the treatment of inconsistency in Answer Set Programming by a possibilistic approach that takes into account the non monotonic aspect of the framework.

Related Content

Added |
27 Jun 2010 |

Updated |
27 Jun 2010 |

Type |
Conference |

Year |
2005 |

Where |
ECSQARU |

Authors |
Pascal Nicolas, Laurent Garcia, Igor Stéphan |

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