An Egalitarist Fusion of Incommensurable Ranked Belief Bases under Constraints

Salem Benferhat, Sylvain Lagrue, Julien Rossit

In the last decade, several approaches have been proposed for merging multiple and potentially conflicting pieces of information. Egalitarist fusion modes privilege solutions that minimize the (local) dissatisfaction of each agent (source, expert) who is involved in the fusion process. This paper proposes useful strategies for an egalitarist fusion of incommensurable ranked belief bases under constraints. We show that the fusion process can equivalently be characterized either by means of the notion of compatible ranked bases, or by means of a Pareto-like ordering on the set of possible solutions. Lastly, rational postulates for our merging operator are studied.

Subjects: 11. Knowledge Representation; 15.1 Belief Revision

Submitted: Apr 25, 2007


This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.