Bilateral Gradual Semantics for Weighted Argumentation
Abstract
Abstract argumentation is a reasoning model for evaluating arguments. Recently, gradual semantics has received considerable attention in weighted argumentation, which assigns an acceptability degree to each argument as its strength. In this paper, we aim to enhance gradual semantics by non-reciprocally incorporating the notion of rejectability degree. Such a setting offers a bilateral perspective on argument strength, enabling more comprehensive argument evaluations in practical situations. To this end, we first provide a set of principles for our semantics, taking both the acceptability and rejectability degrees into account, and propose three novel semantics conforming to the above principles. These semantics are defined as the limits of iterative sequences that always converge in any given weighted argumentation system, making them preferable for real-world applications.
Cite
Text
Wang and Shen. "Bilateral Gradual Semantics for Weighted Argumentation." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I9.28945Markdown
[Wang and Shen. "Bilateral Gradual Semantics for Weighted Argumentation." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/wang2024aaai-bilateral/) doi:10.1609/AAAI.V38I9.28945BibTeX
@inproceedings{wang2024aaai-bilateral,
title = {{Bilateral Gradual Semantics for Weighted Argumentation}},
author = {Wang, Zongshun and Shen, Yuping},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2024},
pages = {10732-10739},
doi = {10.1609/AAAI.V38I9.28945},
url = {https://mlanthology.org/aaai/2024/wang2024aaai-bilateral/}
}