Burden of Persuasion in Meta-argumentation

Giuseppe Pisano, Roberta Calegari, Andrea Omicini, Giovanni Sartor

AIxIA 2021 – Advances in Artificial Intelligence, pages 104-119
Lecture Notes in Computer Science (AI*IA Series) 13196,  2022
Springer, Cham
Stefania Bandini, Francesca Gasparini, Viviana Mascardi, Matteo Palmonari, Giuseppe Vizzari (eds.)

This work defines a burden of persuasion meta-argumentation model interpreting the burden as a set of meta-arguments. Bimodal graphs are exploited to define a meta level (dealing with the burden) and an object level (dealing with standard arguments). Finally, an example in the law domain addressing the problem of burden inversion is discussed in detail.

(keywords) Burdens of persuasion · Argumentation · Meta-argumentation
address = {Cham},
author = {Pisano, Giuseppe and Calegari, Roberta and Omicini, Andrea and Sartor, Giovanni},
booktitle = {AIxIA 2021 -- Advances in Artificial Intelligence},
doi = {10.1007/978-3-031-08421-8_8},
editor = {Bandini, Stefania and Gasparini, Francesca and Mascardi, Viviana and Palmonari, Matteo and Vizzari, Giuseppe},
isbn = {978-3-031-08421-8},
month = jul,
pages = {104--119},
publisher = {Springer International Publishing},
series = {Lecture Notes in Computer Science},
title = {Burden of Persuasion in Meta-argumentation},
url = {http://link.springer.com/10.1007/978-3-031-08421-8_8},
url-pdf = {https://link.springer.com/content/pdf/10.1007/978-3-031-08421-8_8.pdf},
volume = 13196,
year = 2022


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