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http://bura.brunel.ac.uk/handle/2438/27254| Title: | Online Handbook of Argumentation for AI: Volume 3 |
| Authors: | Bengel, L Bezou-Vrakatseli, E Blümel, L Castagna, F D'Agostino, G Odekerken, D Patil, MS Robinson, J Wu, H Xydis, A |
| Keywords: | cs.AI |
| Issue Date: | 15-Dec-2022 |
| Publisher: | Cornell University |
| Citation: | Bengel, L. et al. for the OHAAI Collaboration (2022) Online Handbook of Argumentation for AI. Volume 3. (arXiv:2212.07996v1 [cs.AI]). Ithaca, NY, USA: Cornell University, pp. i - ii, 1 - 51. doi: 10.48550/arXiv.2212.07996. |
| 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. |
| Description: | Editors: Federico Castagna, Francesca Mosca, Jack Mumford, Stefan Sarkadi and Andreas Xydis. |
| URI: | https://bura.brunel.ac.uk/handle/2438/27254 |
| DOI: | https://doi.org/10.48550/arXiv.2212.07996 |
| Other Identifiers: | ORCID iD: Federico Castagna https://orcid.org/0000-0002-5142-4386 arXiv:2212.07996v1 [cs.AI] 3 |
| Appears in Collections: | Dept of Computer Science Research Papers |
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| FullText.pdf | Copyright © The Authors 2022. Made available under a CC BY: Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. | 3.62 MB | Adobe PDF | View/Open |
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