This volume contains revised versions of the papers selected for the third 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.2212.07996,
title = {Online Handbook of Argumentation for AI: Volume 3},
author = {Lars Bengel and Elfia Bezou-Vrakatseli and Lydia Blümel and Federico Castagna and Giulia D'Agostino and Daphne Odekerken and Minal Suresh Patil and Jordan Robinson and Hao Wu and Andreas Xydis},
journal= {arXiv preprint arXiv:2212.07996},
year = {2022}
}