Online Handbook of Argumentation for AI: Volume 1
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.
Keywords
Cite
@article{arxiv.2006.12020,
title = {Online Handbook of Argumentation for AI: Volume 1},
author = {OHAAI Collaboration and Federico Castagna and Timotheus Kampik and Atefeh Keshavarzi Zafarghandi and Mickaël Lafages and Jack Mumford and Christos T. Rodosthenous and Samy Sá and Stefan Sarkadi and Joseph Singleton and Kenneth Skiba and Andreas Xydis},
journal= {arXiv preprint arXiv:2006.12020},
year = {2020}
}
Comments
editor: Federico Castagna and Francesca Mosca and Jack Mumford and Stefan Sarkadi and Andreas Xydis