Online Handbook of Argumentation for AI: Volume 2
OHAAI Collaboration: Andreas Brannstrom, Federico Castagna, Theo, Duchatelle, Matt Foulis, Timotheus Kampik, Isabelle Kuhlmann, Lars Malmqvist,, Mariela Morveli-Espinoza, Jack Mumford, Stipe Pandzic, Robin Schaefer, Luke, Thorburn, Andreas Xydis, Antonio Yuste-Ginel, Heng Zheng

TL;DR
This volume compiles recent research on formal theories and computational models of argumentation in AI, serving as an open-access resource for researchers in symbolic reasoning and defeasible logic.
Contribution
It provides a curated collection of updated papers on argumentation theories and models, fostering community engagement and tracking emerging PhD research in AI argumentation.
Findings
Revised formal theories of argumentation
Advances in computational models of argument
Curated research collection for AI argumentation
Abstract
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.
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Taxonomy
TopicsMulti-Agent Systems and Negotiation
