Abstract
In this paper we extend the Revision Programming framework—a logic-based framework to express and maintain constraints on knowledge bases—with different forms of preferences. Preferences allow users to introduce a bias in the way agents update their knowledge to meet a given set of constraints. In particular, they provide a way to select one between alternative feasible revisions and they allow for the generation of revisions in presence of conflicting constraints, by relaxing the set of satisfied constraints (soft constraints). A methodology for computing preferred revisions using answer set programming is presented.
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Pivkina, I., Pontelli, E., Son, T.C. (2004). Revising Knowledge in Multi-agent Systems Using Revision Programming with Preferences. In: Dix, J., Leite, J. (eds) Computational Logic in Multi-Agent Systems. CLIMA 2004. Lecture Notes in Computer Science(), vol 3259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30200-1_8
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DOI: https://doi.org/10.1007/978-3-540-30200-1_8
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