Title of article :
A consistency-based approach for belief change Original Research Article
Author/Authors :
James P Delgrande، نويسنده , , Torsten Schaub، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2003
Pages :
41
From page :
1
To page :
41
Abstract :
This paper presents a general, consistency-based framework for expressing belief change. The framework has good formal properties while being well-suited for implementation. For belief revision, informally, in revising a knowledge base K by a sentence α, we begin with α and include as much of K as consistently possible. This is done by expressing K and α in disjoint languages, asserting that the languages agree on the truth values of corresponding atoms wherever consistently possible, and then re-expressing the result in the original language of K. There may be more than one way in which the languages of K and α can be so correlated: in choice revision, one such “extension” represents the revised state; alternately (skeptical) revision consists of the intersection of all such extensions. Contraction is similarly defined although, interestingly, it is not interdefinable with revision.
Keywords :
Belief change , Consistency-based reasoning , Belief revision and contraction
Journal title :
Artificial Intelligence
Serial Year :
2003
Journal title :
Artificial Intelligence
Record number :
1207311
Link To Document :
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