Title of article
Reasoning under inconsistency: A forgetting-based approach Original Research Article
Author/Authors
Jérôme Lang، نويسنده , , Pierre Marquis، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2010
Pages
25
From page
799
To page
823
Abstract
In this paper, a fairly general framework for reasoning from inconsistent propositional bases is defined. Variable forgetting is used as a basic operation for weakening pieces of information so as to restore consistency. The key notion is that of recoveries, which are sets of variables whose forgetting enables restoring consistency. Several criteria for defining preferred recoveries are proposed, depending on whether the focus is laid on the relative relevance of the atoms or the relative entrenchment of the pieces of information (or both). Our framework encompasses several previous approaches as specific cases, including reasoning from preferred consistent subsets, and some forms of information merging. Interestingly, the gain in flexibility and generality offered by our framework does not imply a complexity shift compared to these specific cases.
Keywords
Knowledge representation , Reasoning under inconsistency , Forgetting
Journal title
Artificial Intelligence
Serial Year
2010
Journal title
Artificial Intelligence
Record number
1207764
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