Abstract
We propose an engineering approach for assembling argumentation theory with a preference approach, which allows us to give as input an argumentation problem with preferences and return the stable argumentation extensions that fulfill the preferences.
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References
Bench-Capon, T.J.M., Dunne, P.E.: Argumentation in artificial intelligence. Artificial Intelligence 171(10-15), 619–641 (2007)
Brewka, G.: Logic Programming with Ordered Disjunction. In: Proceedings AAAI-2002(2002)
Carballido, J.L., Nieves, J.C., Osorio, M.: Inferring Preferred Extensions by Pstable Semantics. Revista Iberomericana de Inteligencia Artificial 13(41), 38–53 (2009)
Dung, P.M.: On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games. Artificial Intelligence 77(2), 321–358 (1995)
Gelfond, M., Lifschitz, V.: The Stable Model Semantics for Logic Programming. In: Kowalski, R., Bowen, K. (eds.) 5th Conference on Logic Programming, pp. 1070–1080. MIT Press (1988)
Nevar, C.I.C., Maguitman, A.G., Loui, R.P.: Logical models of argument. ACM Comput. Surv. 32(4), 337–383 (2000)
Nieves, J.C., Osorio, M., Cortés, U.: Preferred extensions as stable models. Theory and Practice of Logic Programming (TPLP) 8(4), 527–543 (2008)
Nieves, J.C., Osorio, M., Zepeda, C.: A schema for generating relevant logic programming semantics and its applications in argumentation theory. Fundamenta Informaticae 106(2-4), 295–319 (2011)
van Dalen, D.: Logic and structure, 3rd Augmented edn. Springer, Berlin (1994)
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Osorio, M., Zepeda, C., Carballido, J.L. (2014). Preferences for Argumentation Semantics. In: Gelbukh, A., Espinoza, F.C., Galicia-Haro, S.N. (eds) Human-Inspired Computing and Its Applications. MICAI 2014. Lecture Notes in Computer Science(), vol 8856. Springer, Cham. https://doi.org/10.1007/978-3-319-13647-9_37
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DOI: https://doi.org/10.1007/978-3-319-13647-9_37
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13646-2
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