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Online Handbook of Argumentation for AI

What is OHAAI?

The Online Handbook of Argumentation for AI (OHAAI) is a curation of selected papers describing PhD work on Argumentation in AI that will be published as an annual online Open Access handbook. ​ The OHAAI volumes contain revised versions of selected papers that are summaries of PhD projects. Previously, formal theories of argument and argument interaction have been proposed and studied, and this has led to the more recent study of computational models of argument. Argumentation, as a field within artificial intelligence (AI), is highly relevant for researchers interested in symbolic representations of knowledge and defeasible reasoning. The purpose of this handbook is to provide an open access and continuously curated anthology for the argumentation research community. OHAAI is designed to serve as a research hub to keep track of the latest and upcoming PhD-driven research on the theory and application of argumentation in all areas related to AI. The handbook’s goals are to:

  • Encourage collaboration and knowledge discovery between members of the argumentation community.
  • Provide a platform for PhD students to have their work published in a citable peer-reviewed venue.
  • Present an indication of the scope and quality of PhD research involving argumentation for AI.

The papers in the OHAAI volumes are selected following a back-and-forth peer-review process undertaken by the editors of OHAAI. The current volumes thus present a strong representation of the current state of the art research of argumentation in AI that has been strictly undertaken during PhD studies.

Why should I contribute to OHAAI?

By contributing to OHAAI, you will have the opportunity to get your work published in a citable peer-reviewed venue. This is important if you are just at the beginning of your PhD studies because it will help you start building your research profile from an early stage. If you are still doing your PhD and have already published some of your work or if you have recently submitted your PhD thesis, contributing is good for boosting your research profile even further, because peers will get to know what you have been working on during your PhD. The best part of OHAAI is that it aims to be a continuous project, where you will be able to submit updates to your work in order to keep the research community in touch with your work.

How can I contribute to OHAAI?

We seek short papers (extended abstracts) that can be a summary of your PhD project that can provide insights into which are the emerging techniques in argumentation for AI as well as insights and or results into how argumentation in AI can be used for various applications. We encourage work that aims to link AI to other areas relevant to AI using argumentation, inspired from disciplines such as, but not limited to: Philosophy, Psychology, Cognitive Science, Law, Health, Sociology, Communication Science, and Economics.​


Download the first issue of OHAAI from here:

OHAAI Volume 1 (2020)


Stay Tuned! Submission window for OHAAI Vol.2 will open soon.

Important Dates

  • Paper Submission Deadline (Submissions will Open Soon)
  •   31 January 2021, 23:59 GMT
  • Notification of Acceptance Deadline
  •   28 February 23:59 GMT
  • Camera-ready version
  •   16 May 2021 23:59 GMT
  • Publication of OHAAI Vol.2
  •   June 2021

Paper format and content

The papers will need to be submitted in PDF and will need to follow the LaTeX or MS Word templates provided in the links below.

The papers also need to follow an extended-abstract type of structure with a minimum of 2pg and maximum length of 4pg (+1pg for references), where authors present:​

  • [1] An introduction to the problem they apply argumentation for.​

  • [2] A section where they describe the method/methods/technique they use or plan to use. Also in this section the authors should provide the reasons why they use the method or technique described.​

  • [3] A section in which the authors either provide some results along with a discussion following from the application of their method/technique, or provide a more elaborate discussion of their method in more detail.​

  • [4] A conclusive section.

Contact Us


Federico Castagna, federico.castagna@kcl.ac.uk

Francesca Mosca, francesca.mosca@kcl.ac.uk

Jack Mumford, jack.mumford@kcl.ac.uk

Stefan Sarkadi, stefan.sarkadi@kcl.ac.uk

Andreas Xydis, andreas.xydis@kcl.ac.uk

If you have any questions regarding OHAAI, please contact us at: