PyArg for solving and explaining rgumentation in python
Publication date
2022-09-07
Authors
Borg, AnneMarie
Odekerken, Daphne
Editors
Toni, Francesca
Polberg, Sylwia
Booth, Richard
Caminada, Martin
Kido, Hiroyuki
Advisors
Supervisors
Document Type
Part of book
Metadata
Show full item recordCollections
License
cc_by_nc
Abstract
We introduce PyArg, a Python-based solver and explainer for both abstract argumentation and ASPIC+. A large variety of extension-based semantics allows for flexible evaluation and several explanation functions are available.
Keywords
Abstract Argumentation, Explainable Artificial Intelligence, Python, Structured Argumentation, Artificial Intelligence
Citation
Borg, A & Odekerken, D 2022, PyArg for solving and explaining rgumentation in python. in F Toni, S Polberg, R Booth, M Caminada & H Kido (eds), Computational Models of Argument - Proceedings of COMMA 2022. Frontiers in Artificial Intelligence and Applications, vol. 353, pp. 349-350. https://doi.org/10.3233/FAIA220167