Epistemic Argumentation with Conditional Probabilities and Labeling Constraints
Abstract
We extend epistemic graphs, a powerful representation language employed in argumentation theory, first, by allowing conditional probabilities in that language. We also offer a new way of interpreting the graph as a set of restrictions based on a selected semantics for the abstract argumentation frameworks. The resulting semantics for epistemic graphs are given by credal sets that we characterize through inequalities. We illustrate the main issues in our proposals by resorting to arguments related to climate change.
Cite
Text
Bona et al. "Epistemic Argumentation with Conditional Probabilities and Labeling Constraints." Proceedings of the Twelveth International Symposium on Imprecise Probability: Theories and Applications, 2021.Markdown
[Bona et al. "Epistemic Argumentation with Conditional Probabilities and Labeling Constraints." Proceedings of the Twelveth International Symposium on Imprecise Probability: Theories and Applications, 2021.](https://mlanthology.org/isipta/2021/bona2021isipta-epistemic/)BibTeX
@inproceedings{bona2021isipta-epistemic,
title = {{Epistemic Argumentation with Conditional Probabilities and Labeling Constraints}},
author = {Bona, Glauber and Rocha, Victor Hugo Nascimento and Cozman, Fabio},
booktitle = {Proceedings of the Twelveth International Symposium on Imprecise Probability: Theories and Applications},
year = {2021},
pages = {100-109},
volume = {147},
url = {https://mlanthology.org/isipta/2021/bona2021isipta-epistemic/}
}