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
Kokciyan, N
Sassoon, I
Parsons, S
Sklar, E
Keywords: cs.AI
Issue Date: 7-Jan-2024
Publisher: Cornell University
Citation: Castagna, F. et al. (2024) 'Computational Argumentation-based Chatbots: a Survey', arXiv:2401.03454v1 [cs.AI], pp. 1 - 38. doi: 10.48550/arXiv.2401.03454.
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 It has not been certified by peer review.
URI: https://bura.brunel.ac.uk/handle/2438/28132
Other Identifiers: ORCID iD:
arXiv:2401.03454v1 [cs.AI]
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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