Selective Revision by Deductive Argumentation.

PATRICK KRÜMPELMANN; MATTHIAS THIMM; MARCELO A. FALAPPA; ALEJANDRO J. GARCÍA; GABRIELE KERN-ISBERNER; GUILLERMO R. SIMARI

Barcelona

Workshop; First International Workshop on the Theory and Applications of Formal Arguentation (TAFA-11).; 2011

The success postulate of classic belief revision theory demands that after revising some beliefs with a new information the new information is believed. However, this form of prioritized belief revision is not apt under many circumstances. Research in non-prioritized belief revision investigates forms of belief revision where success is not a desirable property. Herein, selective revision uses a two step approach, rst applying a transformation function to decide if and which part of the new information shall be accepted, and second, incorporating the result using a prioritized revision operator. In this paper, we implement a transformation function by employing deductive argumentation to assess the value of new information. Hereby we obtain a non-prioritized revision operator that only accepts new information if believing in the information is justiable with respect to the beliefs. By making use of previous results on selective revision we prove that our revision operator satises several desirable properties. We illustrate the use of the revision operator by means of examples and compare it with related work.