This volume contains revised versions of the papers selected for the second volume of the Online Handbook of Argumentation for AI (OHAAI). 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 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.
@article{arxiv.2106.10832,
title = {Online Handbook of Argumentation for AI: Volume 2},
author = {OHAAI Collaboration and Andreas Brannstrom and Federico Castagna and Theo Duchatelle and Matt Foulis and Timotheus Kampik and Isabelle Kuhlmann and Lars Malmqvist and Mariela Morveli-Espinoza and Jack Mumford and Stipe Pandzic and Robin Schaefer and Luke Thorburn and Andreas Xydis and Antonio Yuste-Ginel and Heng Zheng},
journal= {arXiv preprint arXiv:2106.10832},
year = {2021}
}