GABBAY, Dov M. ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Rodrigues, Odinaldo
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Degrees of "in", "out" and "undecided" in Argumentation Networks
Date de publication/diffusion :
2016
Nom de la manifestation :
Computational Models of Argument, COMMA 2016
Date de la manifestation :
12-16 September, 2016
Titre de l'ouvrage principal :
Computational Models of Argument - Proceedings of COMMA 2016, Potsdam Germany, 12-16 September, 2016.
C. da C. Pereira, A. G. B. Tettamanzi, and S. Villata. Changing one’s mind: erase or rewind? possibilistic belief revision with fuzzy argumentation based on trust. In Proceedings of the 22nd International joint conference on artificial intelligence: IJCAI’11, pages 164 – 171, Menlo Park, 2011. AAAI Press.
P. Dondio. Multi-valued argumentation frameworks. In Antonis Bikakis, Paul Fodor, and Dumitru Roman, editors, Rules on the Web. From Theory to Applications, volume 8620 of Lecture Notes in Computer Science, pages 142–156. Springer International Publishing, 2014.
L. Amgoud, J. Ben-Naim, D. Doder, and S. Vesic. Ranking arguments with compensation-based semantics. In Proceedings of the 15th International Conference on Principles of Knowledge Representation and Reasoning, KR 2016, pages 12–21, 2016.
D. M. Gabbay. Equational approach to argumentation networks. Argument and Computation, 3:87–142, 2012. DOI: 10.1080/19462166.2012.704398.
D. M. Gabbay and O. Rodrigues. Probabilistic argumentation: An equational approach. Logica Universalis, 9(3):345–382, 2015.
C. Cayrol and M.-C. Lagasquie-Schiex. Graduality in argumentation. Journal of Artificial Intelligence Research, 23:245–297, 2005.
P. Besnard and A. Hunter. A logic-based theory of deductive arguments. Artificial Intelligence, 128(1-2):203 – 235, 2001.
D. Grossi and S. Modgil. On the graded acceptability of arguments. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, pages 868–874, 2015.
M. Thimm and G. Kern-Isberner. On controversiality of arguments and stratified labelings. In Proceedings of the Fifth International Conference on Computational Models of Argumentation (COMMA’14), September 2014.
E. Bonzon, J. Delobelle, S. Konieczny, and N. Maudet. A comparative study of ranking-based semantics for abstract argumentation. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA., pages 914–920, 2016.
L. Amgoud and J. Ben-Naim. Ranking-based semantics for argumentation frameworks. In Scalable Uncertainty Management - 7th International Conference, SUM 2013, Washington, DC, USA, September 16-18, 2013. Proceedings, pages 134–147, 2013.
P.-A. Matt and F. Toni. A game-theoretic measure of argument strength for abstract argumentation. In Logics in Artificial Intelligence, 11th European Conference, JELIA 2008, Dresden, Germany, September 28 - October 1, 2008. Proceedings, pages 285–297, 2008.
