ML Anthology

Acceptability Semantics for Weighted Argumentation Frameworks

Leila Amgoud, Jonathan Ben-Naim, Dragan Doder, Srdjan Vesic
IJCAI 2017 pp. 56-62
doi:10.24963/IJCAI.2017/9 /ijcai/2017/amgoud2017ijcai-acceptability/

Abstract

The paper studies semantics that evaluate arguments in argumentation graphs, where each argument has a basic strength, and may be attacked by other arguments. It starts by defining a set of principles, each of which is a property that a semantics could satisfy. It provides the first formal analysis and comparison of existing semantics. Finally, it defines three novel semantics that satisfy more principles than existing ones.

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Cite

Text

Amgoud et al. "Acceptability Semantics for Weighted Argumentation Frameworks." International Joint Conference on Artificial Intelligence, 2017. doi:10.24963/IJCAI.2017/9

Markdown

[Amgoud et al. "Acceptability Semantics for Weighted Argumentation Frameworks." International Joint Conference on Artificial Intelligence, 2017.](https://mlanthology.org/ijcai/2017/amgoud2017ijcai-acceptability/) doi:10.24963/IJCAI.2017/9

BibTeX

@inproceedings{amgoud2017ijcai-acceptability,
  title     = {{Acceptability Semantics for Weighted Argumentation Frameworks}},
  author    = {Amgoud, Leila and Ben-Naim, Jonathan and Doder, Dragan and Vesic, Srdjan},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2017},
  pages     = {56-62},
  doi       = {10.24963/IJCAI.2017/9},
  url       = {https://mlanthology.org/ijcai/2017/amgoud2017ijcai-acceptability/}
}