A Knowledge Base of Argumentation Schemes for Multi-Agent Systems

Carlos Ferreira, Débora Engelmann, Rafael Bordini, Joel Carbonera, Alison Panisson

2024

Abstract

Argumentation constitutes one of the most significant components of human intelligence. Consequently, argumentation has played a significant role in the community of Artificial Intelligence, in which many researchers study ways to replicate this intelligent behaviour in intelligent agents. In this paper, we describe a knowledge base of argumentation schemes modelled to enable intelligent agents’ general (and domain-specific) argumentative capability. To that purpose, we developed a knowledge base that not only enables agents to reason and communicate with other software agents using a computation model of arguments, but also with humans, using a natural language representation of arguments which results from natural language templates modeled alongside their respective argumentation scheme. To illustrate our approach, we present a scenario in the legal domain where an agent employs argumentation schemes to reason about a crime, deciding whether the defendant intentionally committed the crime or not, a decision that could significantly impact the severity of the sentence handed down by a legal authority. Once a conclusion is reached, the agent provides a natural language explanation of its reasoning.

Paper Citation

in Harvard Style

Ferreira C., Engelmann D., Bordini R., Carbonera J. and Panisson A. (2024). A Knowledge Base of Argumentation Schemes for Multi-Agent Systems. In Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-692-7, SciTePress, pages 587-594. DOI: 10.5220/0012547800003690

in Bibtex Style

@conference{iceis24,
author={Carlos Ferreira and Débora Engelmann and Rafael Bordini and Joel Carbonera and Alison Panisson},
title={A Knowledge Base of Argumentation Schemes for Multi-Agent Systems},
booktitle={Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2024},
pages={587-594},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012547800003690},
isbn={978-989-758-692-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - A Knowledge Base of Argumentation Schemes for Multi-Agent Systems
SN - 978-989-758-692-7
AU - Ferreira C.
AU - Engelmann D.
AU - Bordini R.
AU - Carbonera J.
AU - Panisson A.
PY - 2024
SP - 587
EP - 594
DO - 10.5220/0012547800003690
PB - SciTePress