00872nas a2200253 4500008004100000245007200041210006900113260002500182100002200207700003000229700002100259700001900280700002000299700002000319700002500339700002000364700001700384700003100401700002000432700001700452700001800469700002200487856010900509 2022 eng d00aNeural-Symbolic Learning and Reasoning: A Survey and Interpretation0 aNeuralSymbolic Learning and Reasoning A Survey and Interpretatio aAmsterdambIOS Press1 aBesold, Tarek, R.1 aGarcez, Artur, S. d'Avila1 aBader, Sebastian1 aBowman, Howard1 aDomingos, Pedro1 aHitzler, Pascal1 aKühnberger, Kai-Uwe1 aLamb, Luís, C.1 aLowd, Daniel1 aLima, Priscila, Machado Vi1 ade Penning, Leo1 aPinkas, Gadi1 aPoon, Hoifung1 aZaverucha, Gerson uhttps://daselab.cs.ksu.edu/publications/neural-symbolic-learning-and-reasoning-survey-and-interpretation00737nas a2200205 4500008004100000245007300041210006900114260001500183100003000198700002200228700001800250700002000268700002000288700001800308700002500326700002000351700002500371700002300396856011200419 2015 eng d00aNeural-Symbolic Learning and Reasoning: Contributions and Challenges0 aNeuralSymbolic Learning and Reasoning Contributions and Challeng bAAAI Press1 aGarcez, Artur, S. d'Avila1 aBesold, Tarek, R.1 aDe Raedt, Luc1 aFöldiak, Peter1 aHitzler, Pascal1 aIcard, Thomas1 aKühnberger, Kai-Uwe1 aLamb, Luís, C.1 aMiikkulainen, Riisto1 aSilver, Daniel, L. uhttps://daselab.cs.ksu.edu/publications/neural-symbolic-learning-and-reasoning-contributions-and-challenges00514nas a2200157 4500008004100000245007100041210006900112300001300181490000600194100001900200700002400219700002000243700002400263700002500287856004400312 2012 eng d00aCognitive Approaches for the Semantic Web (Dagstuhl Seminar 12221)0 aCognitive Approaches for the Semantic Web Dagstuhl Seminar 12221 a93–1160 v21 aGentner, Dedre1 avan Harmelen, Frank1 aHitzler, Pascal1 aJanowicz, Krzysztof1 aKühnberger, Kai-Uwe uhttp://dx.doi.org/10.4230/DagRep.2.5.9300913nas a2200133 4500008004100000245004600041210004600087300001200133490000700145520047200152100002000624700002500644856011000669 2009 eng d00aFacets of Artificial General Intelligence0 aFacets of Artificial General Intelligence a58–590 v233 a

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.

1 aHitzler, Pascal1 aKühnberger, Kai-Uwe uhttp://www.kuenstliche-intelligenz.de/fileadmin/template/main/archiv/pdf/ki2009-02_page58-59_web_full.pdf00740nas a2200169 4500008004100000245006500041210005600106260002900162300001200191520016300203100002000366700002500386700001800411700002000429700001900449856010200468 2009 eng d00aThe Importance of Being Neural-Symbolic – A Wilde Position0 aImportance of Being NeuralSymbolic A Wilde Position aArlington, Virginia, USA a208-2093 a

We argue that Neural-Symbolic Integration is a topic of central importance for the advancement of Artificial General Intelligence.

1 aHitzler, Pascal1 aKühnberger, Kai-Uwe1 aGoertzel, Ben1 aHitzler, Pascal1 aHutter, Marcus uhttps://daselab.cs.ksu.edu/publications/importance-being-neural-symbolic-%E2%80%93-wilde-position