Graded Reinstatement in Belief Revision

Célia Da Costa Pereira 1 Andrea G. B. Tettamanzi 2 Serena Villata 3
1 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe KEIA
SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
3 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : An important issue in belief revision is the possible loss of previous information which later might turn to be correct when new information becomes available to the agent. Starting from the fuzzy argument labeling based on trust, we mirror argument reinstatement in belief reinstatement, and we show the conditions under which the belief reinstatement is total, partial, or nonexistent.
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Communication dans un congrès
Olivier Boissier and Jeffrey Bradshaw and Longbing Cao and Klaus Fischer and Mohand-Said Hacid. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2011, Aug 2011, Lyon, France. pp.58--61, 2011, Proceedings of the 2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2011. <10.1109/WI-IAT.2011.185>
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https://hal.archives-ouvertes.fr/hal-01329993
Contributeur : Célia Da Costa Pereira <>
Soumis le : jeudi 9 juin 2016 - 19:03:42
Dernière modification le : vendredi 26 août 2016 - 10:07:23

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Célia Da Costa Pereira, Andrea G. B. Tettamanzi, Serena Villata. Graded Reinstatement in Belief Revision. Olivier Boissier and Jeffrey Bradshaw and Longbing Cao and Klaus Fischer and Mohand-Said Hacid. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2011, Aug 2011, Lyon, France. pp.58--61, 2011, Proceedings of the 2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2011. <10.1109/WI-IAT.2011.185>. <hal-01329993>

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