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Journal of Logic and Computation 2007 17(5):909-937; doi:10.1093/logcom/exm047
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© The Author, 2007. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Original Articles

Conciliation through Iterated Belief Merging

Olivier Gauwin, Sébastien Konieczny and Pierre Marquis

CRIL – CNRS, Université d'A;rtois, Lens, France E-mail: gauwin{at}cril.fr, konieczny{at}cril.fr, marquis{at}cril.fr

Received 8 February 2006.


  Abstract

Two families of conciliation processes for intelligent agents based on an iterated merge-then-revise change function for belief profiles are introduced and studied. The processes from the first family are sceptical in the sense that at any revision step, each agent considers that her current beliefs are more important than the current beliefs of the group, while the processes from the other family are credulous. Some key features of such conciliation processes are pointed out for several merging operators; especially, the stationarity issue, the existence of consensus and the properties of the induced iterated merging operators are investigated.

Keywords: Belief merging; belief revision; conciliation


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