2005 | OriginalPaper | Chapter
Preference Revision Via Declarative Debugging
Authors : Pierangelo Dell’Acqua, Luís Moniz Pereira
Published in: Progress in Artificial Intelligence
Publisher: Springer Berlin Heidelberg
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Preference criteria are rarely static. Often they are subject to modification and aggregation. The resulting preference criteria may not satisfy the properties of the original ones and must therefore be revised. This paper investigates the problem of revising such preference criteria by means of declarative debugging techniques.