Bounding Acceptability Degrees and Eliciting Initial Weights in Gradual Argumentation

Oren, Nir; Yun, Bruno

doi:10.24963/ijcai.2026/443

Bounding Acceptability Degrees and Eliciting Initial Weights in Gradual Argumentation

Nir Oren, Bruno Yun

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Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Main Track. Pages 3979-3987.

https://doi.org/10.24963/ijcai.2026/443

Keywords

Knowledge Representation and Reasoning: Argumentation

Abstract

Many semantics for abstract weighted argumentation assume that each argument is associated with a numerical initial weight. Eliciting these initial weights poses several challenges: (1) accurately providing a specific numerical value is often difficult, and (2) individuals frequently confuse initial weights with acceptability degrees in the presence of other arguments. We therefore propose an elicitation pipeline that allows a user to specify their believed final acceptability degree intervals for each argument. We can determine which portion (if any) of these intervals are rational, refining the intervals, or restoring rationality when the intervals are irrational. This allows us to ultimately identify possible initial weights for each argument.

Nir Oren, and Bruno Yun. 2026. Bounding Acceptability Degrees and Eliciting Initial Weights in Gradual Argumentation. In Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26. IJCAI, 3979–3987. https://doi.org/10.24963/ijcai.2026/443

@inproceedings{ijcai2026p443,
  title     = {Bounding Acceptability Degrees and Eliciting Initial Weights in Gradual Argumentation},
  author    = {Oren, Nir and Yun, Bruno},
  booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
               Artificial Intelligence, {IJCAI-26}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Diego Calvanese},
  pages     = {3979--3987},
  year      = {2026},
  month     = {8},
  note      = {Main Track},
  doi       = {10.24963/ijcai.2026/443},
  url       = {https://doi.org/10.24963/ijcai.2026/443},
}

TY  - CPAPER
TI  - Bounding Acceptability Degrees and Eliciting Initial Weights in Gradual Argumentation
AU  - Oren, Nir
AU  - Yun, Bruno
T2  - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2026
SP  - 3979
EP  - 3987
DO  - 10.24963/ijcai.2026/443
UR  - https://doi.org/10.24963/ijcai.2026/443
ER  -