<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>27</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Primiero, Giuseppe</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A model for processing updates with inconsistent information on propositional databases</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year></dates><publisher><style face="normal" font="default" size="100%"> College Publications</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In the present paper a model for information update on propositional databases is formulated using the standard format of Adaptive Logics. The core structure of the update procedure is represented by the ab- normal expressions of the language that formalize received information contradicting previous contents. The strategy dened to restrict abnor- malities works by establishing, at each stage of the process, the most re- cent and reliable information, updating constantly the base and removing older data.&lt;/p&gt;</style></abstract></record></records></xml>