On the complexity of propositional knowledge base revision, updates, and counterfactuals
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Machine Learning
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Constraints
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International Journal of Approximate Reasoning
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This paper is concerned with a fundamental issue in knowledge representation and reasoning that, surprisingly, has received little attention so far. The point is that inserting some logically weaker (but, in a sense, more precise) information within a logic-based representation is not a straightforward process if the extra information must prevail. Indeed, it does neither prevail by itself nor disable the already existing logically stronger (but less precise) information that subsumes it. A general framework for solving this problem is introduced and instantiated to the task of making some rules prevail over more general ones.