<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Batens, Diderik</style></author><author><style face="normal" font="default" size="100%">Meheus, Joke</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Dyckhoff, Roy</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A Tableau Method for Inconsistency-Adaptive Logics</style></title><secondary-title><style face="normal" font="default" size="100%">Automated Reasoning with Analytic Tableaux and Related Methods</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Lecture Notes in Artificial Intelligence</style></tertiary-title></titles><dates><year><style  face="normal" font="default" size="100%">2000</style></year></dates><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><volume><style face="normal" font="default" size="100%">1847</style></volume><pages><style face="normal" font="default" size="100%">127–142</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;We present a tableau method for inconsistency-adaptive logics and illustrate it in terms of the two best studied systems. The method is new in that adaptive logics require a more complex structure of the tableaus and of some rules and conditions. As there is no positive test for derivability in inconsistency-adaptive logics, the tableau method is important for providing criteria for derivability.&lt;/p&gt;</style></abstract></record></records></xml>