Online Handbook of Argumentation for AI: Volume 2

• URL: http://arxiv.org/abs/2106.10832v2
• Date: Wed, 23 Jun 2021 11:24:19 GMT
• Title: Online Handbook of Argumentation for AI: Volume 2
• Authors: 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
• Abstract summary: This volume contains revised versions of the papers selected for the second volume of the Online Handbook of Argumentation for AI (OHAAI) Argumentation as a field within artificial intelligence (AI) is highly relevant for researchers interested in symbolic representations of knowledge and defeasible reasoning. 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.
• Score: 0.20872491154425035
• License: http://creativecommons.org/licenses/by/4.0/
• 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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