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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
Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
3 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - 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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Célia da Costa Pereira, Andrea G. B. Tettamanzi, Serena Villata. Graded Reinstatement in Belief Revision. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2011, Aug 2011, Lyon, France. pp.58--61, ⟨10.1109/WI-IAT.2011.185⟩. ⟨hal-01329993⟩

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