Propositional knowledge base revision and minimal change
Artificial Intelligence
Knowledge compilation and theory approximation
Journal of the ACM (JACM)
Revisions of knowledge systems using epistemic entrenchment
TARK '88 Proceedings of the 2nd conference on Theoretical aspects of reasoning about knowledge
The measurement of ranks and the laws of iterated contraction
Artificial Intelligence
Iterated belief contraction from first principles
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Next steps in propositional horn contraction
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Horn Belief Change: A Contraction Core
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Horn contraction via epistemic entrenchment
JELIA'10 Proceedings of the 12th European conference on Logics in artificial intelligence
Taking Levi identity seriously: a plea for iterated belief contraction
KSEM'06 Proceedings of the First international conference on Knowledge Science, Engineering and Management
On the link between partial meet, kernel, and infra contraction and its application to Horn logic
Journal of Artificial Intelligence Research
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Transitively relational partial meet horn contraction
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
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In the AGM framework [Alchourrón and Makinson, 1985], a revision function can be defined directly through constructions like systems of spheres, epistemic entrenchment, etc., or indirectly through a contraction operation via the Levi identity. A recent trend is to construct AGM style contraction and revision functions that operate under Horn logic. A direct construction of Horn revision is given in [Delgrande and Peppas, 2011]. However, it is unknown whether Horn revision can be defined indirectly from Horn contraction. In this paper, we address this problem by obtaining a model-based Horn revision through the model-based Horn contraction studied in [Zhuang and Pagnucco, 2012]. Our result shows that, under proper restrictions, Horn revision is definable through Horn contraction via the Levi identity.