Computational argumentation-based chatbots: A survey

Federico Castagna, Nadin Kökciyan, Isabel Sassoon, Simon Parsons, Elizabeth Sklar

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

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.
Original languageEnglish
Pages (from-to)1271-1310
Number of pages40
Journal Journal of Artificial Intelligence Research
Volume80
DOIs
Publication statusPublished - 2 Aug 2024

Keywords / Materials (for Non-textual outputs)

  • human computer interaction
  • autonomous agents
  • nonmonotonic reasoning
  • discourse modelling

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