<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Meheus, Joke</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">On the Acceptance of Problem Solutions Derived from Inconsistent Constraints</style></title><secondary-title><style face="normal" font="default" size="100%">Logic and Logical Philosophy</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2000</style></year></dates><volume><style face="normal" font="default" size="100%">8</style></volume><pages><style face="normal" font="default" size="100%">33–46</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In this paper, I discuss the main difficulties one encounters when solving problems with inconsistent constraints. I argue that in order to meet these difficulties we need an inconsistency-adaptive logic that enables one to derive as many (interesting) consequences as possible, but that at the same time allows one to determine which consequences can be &lt;em&gt;accepted&lt;/em&gt;. I show that the inconsistency-adaptive logic &lt;strong&gt;ANA&lt;/strong&gt; satisfies these requirements.&lt;/p&gt;</style></abstract></record></records></xml>