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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 peer-reviewed papers describing PhD work on Argumentation in AI, published as an annual online Open Access handbook. ​ 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. Thus, 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, with a commitment to support authors to maximise their opportunity for publication. Each volume thus presents a strong representation of the contemporary 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. If you are just at the beginning of your PhD studies then publishing in OHAAI 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 to OHAAI will help boost your research profile even further, providing peers with a concise understanding of the work you have conducted during your PhD. OHAAI is a continuous annual project, which means you will be able to submit updates to your work each year in order to keep the research community in touch with the progress of your PhD.

How can I contribute to OHAAI?

We seek a short paper (extended abstract ) summary of your PhD project, with clear indication of how your work is relevant in contributing to emerging theoretical techniques and/or applications of argumentation for AI. We encourage work that aims to link AI to other areas using argumentation, inspired from disciplines such as, but not limited to: Philosophy, Psychology, Cognitive Science, Law, Health, Sociology, Communication Science, and Economics.​

Poster

Download the poster from here:

OHAAI call for papers 2021

Volumes

Download the 1st issue of OHAAI from here:

OHAAI Volume 1 (2020)

Download the 2nd issue of OHAAI from here:

OHAAI Volume 2 (2021)

Submit

Submissions for OHAAI Vol.2 are now CLOSED!

Stay tuned for the new call for paper!


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 for which they apply argumentation.​

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

Contact Us

Organisers

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

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

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

Stefan Sarkadi, stefan.sarkadi@inria.fr

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


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

ohaaiproject@gmail.com