Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/28132
Title: Computational Argumentation-based Chatbots: A Survey
Authors: Castagna, F
Kökciyan, N
Sassoon, I
Parsons, S
Sklar, E
Keywords: cs.AI;human computer interaction;autonomous agents;nonmonotonic reasoning;discourse modelling
Issue Date: 2-Aug-2024
Publisher: AI Access Foundation
Citation: Castagna, F. et al. (2024) 'Computational Argumentation-based Chatbots: A Survey', Journal of Artificial Intelligence Research, 80, pp. 1271 - 1310. doi: 10.1613/jair.1.15407.
Abstract: Chatbots are conversational software applications designed to interact dialectically with users for a plethora of different purposes. Surprisingly, these colloquial agents have only recently been coupled with computational models of arguments (i.e. computational argumentation), whose aim is to formalise, in a machine-readable format, the ordinary exchange of information that characterises human communications. Chatbots may employ argumentation with different degrees and in a variety of manners. The present survey sifts through the literature to review papers concerning this kind of argumentation-based bot, drawing conclusions about the benefits and drawbacks that this approach entails in comparison with standard chatbots, while also envisaging possible future development and integration with the Transformer-based architecture and state-of-the-art Large Language models.
Description: The article archived on this institutional repository is a preprint. It has not been certified by peer review.
A preprint version of the article is available at arXiv:2401.03454v1 [cs.AI], https://arxiv.org/abs/2401.03454 . It has not been certified by peer review.
URI: https://bura.brunel.ac.uk/handle/2438/28132
DOI: https://doi.org/10.1613/jair.1.15407
ISSN: 1076-9757
Other Identifiers: ORCiD: Federico Castagna https://orcid.org/0000-0002-5142-4386
ORCiD: Isabel Sassoon https://orcid.org/0000-0002-8685-1054
arXiv:2401.03454v1 [cs.AI]
Appears in Collections:Dept of Computer Science Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfCopyright © 2024 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).582.66 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons