The conclusions drawn from a dialogue depend both on the content of the arguments, and the level of trust placed in the arguments and the entity advancing them. In this paper, we describe a framework for dialogue where such trust forms the basis for expressing preferences between arguments, and in turn, for computing conclusions of the dialogue. Our framework contains object and meta-level arguments, and uses ASPIC+ to represent arguments, while argument schemes capture meta-level arguments about trust and preferences.
CITATION STYLE
Ogunniye, G., Toniolo, A., & Oren, N. (2018). Meta-argumentation frameworks for multi-party dialogues. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11224 LNAI, pp. 585–593). Springer Verlag. https://doi.org/10.1007/978-3-030-03098-8_45
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