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.

Graded reinstatement in belief revision / C. da Costa Pereira, A.G.B. Tettamanzi, S. Villata - In: 2011 IEEE/WIC/ACM International conference on web intelligence and intelligent agent technology : WI-IAT workshops 2011 : 22–27 august 2011, Lyon, Franc : proceedings / [a cura di] J.F. Hübner, J.-M. Petit, E. Suzuki. - Los Alamitos : Institute of electrical and electronics engineers, 2011. - ISBN 9781457713736. - pp. 58-61 (( convegno Intelligent Agent Technologies (IAT) tenutosi a Lyon nel 2011 [10.1109/WI-IAT.2011.185].

Graded reinstatement in belief revision

A.G.B. Tettamanzi;
2011

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.
Settore INF/01 - Informatica
2011
IEEE
WIC
ACM
Book Part (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/164143
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