research-article

Visual Gorgias: A Mechanism for the Visualization of an Argumentation Dialogue

Authors:

Alexandros Vassiliades,

Ilias Papadimitriou,

Nick Bassiliades,

Theodore PatkosAuthors Info & Claims

PCI '21: Proceedings of the 25th Pan-Hellenic Conference on Informatics

Pages 149 - 154

https://doi.org/10.1145/3503823.3503852

Published: 22 February 2022 Publication History

Abstract

The area of eXplainable Artificial Intelligence (XAI) has been given great attention during the last decade, due to the obscurity that exists on how a data-driven model makes a decision. One idea in order to make Artificial Intelligence (AI) systems more explainable is to use cognitive methods that humans use when reasoning. For instance, argumentation is a common method that humans use when they explain an opinion [13]. In this paper, we introduce a framework that produces the visualization of an explanation from an argumentation dialogue, and can be easily understood by any user. More specifically, we utilize the argumentation tree that Gorgias returns [7] for the acceptability of an argument, to create a graph that represents the explanation of the argumentation tree.

References

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Nick Bassiliades, Nikolaos I Spanoudakis, and Antonis C Kakas. 2018. Towards multipolicy argumentation. In Proceedings of the 10th Hellenic Conference on Artificial Intelligence. ACM, Patras, Greece, 1–10.

Digital Library

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Trevor JM Bench-Capon. 2020. Before and after Dung: Argumentation in AI and Law. Argument & Computation 11, 1-2 (2020), 221–238.

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Trevor JM Bench-Capon and Paul E Dunne. 2007. Argumentation in artificial intelligence. Artificial intelligence 171, 10-15 (2007), 619–641.

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Gregor Betz, Michael Hamann, Tamara Mchedlidze, and Sophie von Schmettow. 2019. Applying argumentation to structure and visualize multi-dimensional opinion spaces. Argument & Computation 10, 1 (2019), 23–40.

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Martin Caminada, Samy Sá, Joao Alcântara, and Wolfgang Dvořák. 2015. On the equivalence between logic programming semantics and argumentation semantics. International Journal of Approximate Reasoning 58 (2015), 87–111.

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Nancy L Green, Michael Branon, and Luke Roosje. 2019. Argument schemes and visualization software for critical thinking about international politics. Argument & Computation 10, 1 (2019), 41–53.

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Antonis C Kakas, Pavlos Moraitis, and Nikolaos I Spanoudakis. 2019. GORGIAS: Applying argumentation. Argument & Computation 10, 1 (2019), 55–81.

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Efstratios Kontopoulos, Nick Bassiliades, and Grigoris Antoniou. 2011. Visualizing Semantic Web proofs of defeasible logic in the DR-DEVICE system. Knowledge-Based Systems 24, 3 (2011), 406–419.

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Tim Miller. 2019. Explanation in artificial intelligence: Insights from the social sciences. Artificial intelligence 267 (2019), 1–38.

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Ioannis Mollas, Nick Bassiliades, and Grigorios Tsoumakas. 2020. Altruist: Argumentative Explanations through Local Interpretations of Predictive Models. arxiv:2010.07650 [cs.LG]

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Francesca Toni. 2014. A tutorial on assumption-based argumentation. Argument & Computation 5, 1 (2014), 89–117.

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Alexandros Vassiliades, Nick Bassiliades, and Theodore Patkos. 2021. Argumentation and explainable artificial intelligence: a survey. The Knowledge Engineering Review 36 (2021).

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Zhiwei Zeng, Chunyan Miao, Cyril Leung, and Jing Jih Chin. 2018. Building more explainable artificial intelligence with argumentation. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 32. Elsevier, Louisiana, USA, 1–2.

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Qiaoting Zhong, Xiuyi Fan, Francesca Toni, and Xudong Luo. 2014. Explaining Best Decisions via Argumentation. In ECSI. Springer, Barcelona, Spain, 224–237.

Cited By

Methnani LDignum VTheodorou A(2024)Clash of the Explainers: Argumentation for Context-Appropriate ExplanationsArtificial Intelligence. ECAI 2023 International Workshops10.1007/978-3-031-50396-2_1(7-23)Online publication date: 21-Jan-2024
https://doi.org/10.1007/978-3-031-50396-2_1

Index Terms

Visual Gorgias: A Mechanism for the Visualization of an Argumentation Dialogue
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
2. Human-centered computing
  1. Human computer interaction (HCI)

Index terms have been assigned to the content through auto-classification.

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cover image ACM Other conferences

PCI '21: Proceedings of the 25th Pan-Hellenic Conference on Informatics

November 2021

499 pages

ISBN:9781450395557

DOI:10.1145/3503823

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 February 2022

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Hellenic Foundation for Research and Innovation (HFRI), and the General Secretariat for Research and Technology (GSRT)

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PCI 2021

PCI 2021: 25th Pan-Hellenic Conference on Informatics

November 26 - 28, 2021

Volos, Greece

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Overall Acceptance Rate 190 of 390 submissions, 49%

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Cited By

Methnani LDignum VTheodorou A(2024)Clash of the Explainers: Argumentation for Context-Appropriate ExplanationsArtificial Intelligence. ECAI 2023 International Workshops10.1007/978-3-031-50396-2_1(7-23)Online publication date: 21-Jan-2024
https://doi.org/10.1007/978-3-031-50396-2_1

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