Proceedings

Quota and Gmin Merging Operators

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Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 424-428.

Abstract

In this paper, two families of merging operators are considered: quota operators and Gmin operators. Quota operators rely on a simple idea: any possible world is viewed as a model of the result of the merging when it satisfies “sufficiently many” bases from the given profile (a multi-set of bases). Different interpretations of the “sufficiently many” give rise to specific operators. Each Gmin operator is parameterized by a pseudo-distance and each of them is intended to refine the quota operators (i.e., to preserve more information). Quota and Gmin operators are evaluated and compared along four dimensions: rationality, computational complexity, strategy-proofness, and discriminating power. Those two families are shown as interesting alternatives to the formula-based merging operators (which selects some formulas in the union of the bases).

Patricia Everaere, Sébastien Konieczny, and Pierre Marquis. 2005. Quota and Gmin Merging Operators. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05. IJCAI, 424–428. https://ijcai.org/proceedings/2005/83
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