Epistemic Argumentation with Conditional Probabilities and Labeling Constraints

Glauber de Bona, Victor Hugo Nascimento Rocha, Fabio Cozman
Proceedings of the Twelveth International Symposium on Imprecise Probability: Theories and Applications, PMLR 147:100-109, 2021.

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 this Paper

BibTeX
@InProceedings{pmlr-v147-bona21a, title = {Epistemic Argumentation with Conditional Probabilities and Labeling Constraints}, author = {de Bona, Glauber and Rocha, Victor Hugo Nascimento and Cozman, Fabio}, booktitle = {Proceedings of the Twelveth International Symposium on Imprecise Probability: Theories and Applications}, pages = {100--109}, year = {2021}, editor = {Cano, Andrés and De Bock, Jasper and Miranda, Enrique and Moral, Serafı́n}, volume = {147}, series = {Proceedings of Machine Learning Research}, month = {06--09 Jul}, publisher = {PMLR}, pdf = {http://proceedings.mlr.press/v147/bona21a/bona21a.pdf}, url = {https://proceedings.mlr.press/v147/bona21a.html}, 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.} }
Endnote
%0 Conference Paper %T Epistemic Argumentation with Conditional Probabilities and Labeling Constraints %A Glauber de Bona %A Victor Hugo Nascimento Rocha %A Fabio Cozman %B Proceedings of the Twelveth International Symposium on Imprecise Probability: Theories and Applications %C Proceedings of Machine Learning Research %D 2021 %E Andrés Cano %E Jasper De Bock %E Enrique Miranda %E Serafı́n Moral %F pmlr-v147-bona21a %I PMLR %P 100--109 %U https://proceedings.mlr.press/v147/bona21a.html %V 147 %X 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.
APA
de Bona, G., Rocha, V.H.N. & Cozman, F.. (2021). Epistemic Argumentation with Conditional Probabilities and Labeling Constraints. Proceedings of the Twelveth International Symposium on Imprecise Probability: Theories and Applications, in Proceedings of Machine Learning Research 147:100-109 Available from https://proceedings.mlr.press/v147/bona21a.html.

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