Online Handbook of Argumentation for AI: Volume 3
Lars Bengel, Elfia Bezou-Vrakatseli, Lydia Bl\"umel, Federico, Castagna, Giulia D'Agostino, Daphne Odekerken, Minal Suresh Patil, Jordan, Robinson, Hao Wu, Andreas Xydis

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