<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Tarek R. Besold</style></author><author><style face="normal" font="default" size="100%">Artur S. d'Avila Garcez</style></author><author><style face="normal" font="default" size="100%">Sebastian Bader</style></author><author><style face="normal" font="default" size="100%">Howard Bowman</style></author><author><style face="normal" font="default" size="100%">Pedro Domingos</style></author><author><style face="normal" font="default" size="100%">Pascal Hitzler</style></author><author><style face="normal" font="default" size="100%">Kai-Uwe Kühnberger</style></author><author><style face="normal" font="default" size="100%">Luís C. Lamb</style></author><author><style face="normal" font="default" size="100%">Daniel Lowd</style></author><author><style face="normal" font="default" size="100%">Priscila Machado Vieira Lima</style></author><author><style face="normal" font="default" size="100%">Leo de Penning</style></author><author><style face="normal" font="default" size="100%">Gadi Pinkas</style></author><author><style face="normal" font="default" size="100%">Hoifung Poon</style></author><author><style face="normal" font="default" size="100%">Gerson Zaverucha</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Neural-Symbolic Learning and Reasoning: A Survey and Interpretation</style></title><secondary-title><style face="normal" font="default" size="100%">Neuro-Symbolic Artificial Intelligence: The State of the Art</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2022</style></year></dates><publisher><style face="normal" font="default" size="100%">IOS Press</style></publisher><pub-location><style face="normal" font="default" size="100%">Amsterdam</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Artur S. d'Avila Garcez</style></author><author><style face="normal" font="default" size="100%">Tarek R. Besold</style></author><author><style face="normal" font="default" size="100%">Luc De Raedt</style></author><author><style face="normal" font="default" size="100%">Peter Földiak</style></author><author><style face="normal" font="default" size="100%">Pascal Hitzler</style></author><author><style face="normal" font="default" size="100%">Thomas Icard</style></author><author><style face="normal" font="default" size="100%">Kai-Uwe Kühnberger</style></author><author><style face="normal" font="default" size="100%">Luís C. Lamb</style></author><author><style face="normal" font="default" size="100%">Riisto Miikkulainen</style></author><author><style face="normal" font="default" size="100%">Daniel L. Silver</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Neural-Symbolic Learning and Reasoning: Contributions and Challenges</style></title><secondary-title><style face="normal" font="default" size="100%">AAAI 2015 Spring Symposium on Knowledge Representation and Reasoning: Integrating Symbolic and Neural Approaches. Technical Report SS-15-03, AAAI Press, Palo Alto</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year></dates><publisher><style face="normal" font="default" size="100%">AAAI Press</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record><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%">Dedre Gentner</style></author><author><style face="normal" font="default" size="100%">Frank van Harmelen</style></author><author><style face="normal" font="default" size="100%">Pascal Hitzler</style></author><author><style face="normal" font="default" size="100%">Krzysztof Janowicz</style></author><author><style face="normal" font="default" size="100%">Kai-Uwe Kühnberger</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Cognitive Approaches for the Semantic Web (Dagstuhl Seminar 12221)</style></title><secondary-title><style face="normal" font="default" size="100%">Dagstuhl Reports</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dx.doi.org/10.4230/DagRep.2.5.93</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">2</style></volume><pages><style face="normal" font="default" size="100%">93–116</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><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%">Pascal Hitzler</style></author><author><style face="normal" font="default" size="100%">Kai-Uwe Kühnberger</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Facets of Artificial General Intelligence</style></title><secondary-title><style face="normal" font="default" size="100%">Künstliche Intelligenz</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.kuenstliche-intelligenz.de/fileadmin/template/main/archiv/pdf/ki2009-02_page58-59_web_full.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">23</style></volume><pages><style face="normal" font="default" size="100%">58–59</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p class=&quot;rtejustify&quot;&gt;We argue that time has come for a serious endeavor to work towards artificial general intelligence (AGI). This positive assessment of the very possibility of AGI has partially its roots in the development of new methodological achievements in the AI area, like new learning paradigms and new integration techniques for different methodologies. The article sketches some of these methods as prototypical examples for approaches towards AGI.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Pascal Hitzler</style></author><author><style face="normal" font="default" size="100%">Kai-Uwe Kühnberger</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Ben Goertzel</style></author><author><style face="normal" font="default" size="100%">Pascal Hitzler</style></author><author><style face="normal" font="default" size="100%">Marcus Hutter</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">The Importance of Being Neural-Symbolic – A Wilde Position</style></title><secondary-title><style face="normal" font="default" size="100%">Second Conference on Artificial General Intelligence, AGI 2009</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><pub-location><style face="normal" font="default" size="100%">Arlington, Virginia, USA</style></pub-location><pages><style face="normal" font="default" size="100%">208-209</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p class=&quot;rtejustify&quot;&gt;We argue that Neural-Symbolic Integration is a topic of central importance for the advancement of Artificial General Intelligence.&lt;/p&gt;
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