Online Handbook of Argumentation for AI: Volume 2

• Main Authors: OHAAI Collaboration, Brannstrom, Andreas, Castagna, Federico, Duchatelle, Theo, Foulis, Matt, Kampik, Timotheus, Kuhlmann, Isabelle, Malmqvist, Lars, Morveli-Espinoza, Mariela, Mumford, Jack, Pandzic, Stipe, Schaefer, Robin, Thorburn, Luke, Xydis, Andreas, Yuste-Ginel, Antonio, Zheng, Heng
• Format: Journal Article
• Language: English
• Published: 16-06-2021
• Subjects: Computer Science - Artificial Intelligence
• DOI: 10.48550/arxiv.2106.10832

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.