Online Handbook of Argumentation for AI: Volume 1
OHAAI Collaboration: Federico Castagna, Timotheus Kampik, Atefeh, Keshavarzi Zafarghandi, Micka\"el Lafages, Jack Mumford, Christos T., Rodosthenous, Samy S\'a, Stefan Sarkadi, Joseph Singleton, Kenneth Skiba,, Andreas Xydis

TL;DR
This volume compiles revised research papers on formal theories and computational models of argumentation in AI, serving as an open access resource for the argumentation research community.
Contribution
It provides a curated anthology of recent PhD-driven research on argumentation theory and applications in AI, fostering knowledge sharing and community building.
Findings
Compilation of recent formal and computational argumentation models
Open access resource for AI argumentation research community
Highlights of latest PhD research in the field
Abstract
This volume contains revised versions of the papers selected for the first 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
