PyArg for solving and explaining rgumentation in python

AnneMarie Borg; Daphne Odekerken

doi:10.3233/FAIA220167

PyArg for solving and explaining rgumentation in python

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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.

Original language	English
Title of host publication	Computational Models of Argument - Proceedings of COMMA 2022
Editors	Francesca Toni, Sylwia Polberg, Richard Booth, Martin Caminada, Hiroyuki Kido
Pages	349-350
Number of pages	2
DOIs	https://doi.org/10.3233/FAIA220167
Publication status	Published - 7 Sept 2022

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	353
ISSN (Print)	0922-6389

Bibliographical note

Publisher Copyright:
© 2022 The authors and IOS Press. All rights reserved.

Keywords

Abstract Argumentation
Explainable Artificial Intelligence
Python
Structured Argumentation

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10.3233/FAIA220167Licence: CC BY-NC

FAIA-353-FAIA220167Final published version, 240 KBLicence: CC BY-NC

Cite this

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title = "PyArg for solving and explaining rgumentation in python",

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",

author = "AnneMarie Borg and Daphne Odekerken",

year = "2022",

month = sep,

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series = "Frontiers in Artificial Intelligence and Applications",

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editor = "Francesca Toni and Sylwia Polberg and Richard Booth and Martin Caminada and Hiroyuki Kido",

booktitle = "Computational Models of Argument - Proceedings of COMMA 2022",

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PyArg for solving and explaining rgumentation in python. / Borg, AnneMarie ; Odekerken, Daphne.
Computational Models of Argument - Proceedings of COMMA 2022. ed. / Francesca Toni; Sylwia Polberg; Richard Booth; Martin Caminada; Hiroyuki Kido. 2022. p. 349-350 (Frontiers in Artificial Intelligence and Applications; Vol. 353).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - PyArg for solving and explaining rgumentation in python

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AU - Odekerken, Daphne

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N2 - 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.

AB - 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.

KW - Abstract Argumentation

KW - Explainable Artificial Intelligence

KW - Python

KW - Structured Argumentation

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DO - 10.3233/FAIA220167

M3 - Conference contribution

T3 - Frontiers in Artificial Intelligence and Applications

SP - 349

EP - 350

BT - Computational Models of Argument - Proceedings of COMMA 2022

A2 - Toni, Francesca

A2 - Polberg, Sylwia

A2 - Booth, Richard

A2 - Caminada, Martin

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ER -

PyArg for solving and explaining rgumentation in python

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Keywords

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