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Online Handbook of Argumentation for AI: Volume 2

16 June 2021
Ohaai Collaboration Andreas Brannstrom
Andreas Brannstrom
Federico Castagna
Theo Duchatelle
Matt Foulis
T. Kampik
Isabelle Kuhlmann
Lars Malmqvist
Mariela Morveli-Espinoza
Jack Mumford
Stipe Pandžić
Robin Schaefer
Luke Thorburn
A. Xydis
Antonio Yuste-Ginel
Heng Zheng
ArXiv (abs)PDFHTML
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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