Solving conflicts in information merging by a flexible interpretation of atomic propositions
Artificial Intelligence
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The paper discusses a new approach to merging conflicting propositional knowledge bases which builds on the idea that consistency can often be restored by interpreting propositions more flexibly, thus enlarging their sets of models.