Online Handbook of Argumentation for AI: Volume 4
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Publié: |
2023
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866911759762194432 |
|---|---|
| author | Bengel, Lars Blümel, Lydia Bezou-Vrakatseli, Elfia Castagna, Federico D'Agostino, Giulia Kuhlmann, Isabelle Mumford, Jack Odekerken, Daphne Russo, Fabrizio Sarkadi, Stefan Waller, Madeleine Xydis, Andreas |
| author_facet | Bengel, Lars Blümel, Lydia Bezou-Vrakatseli, Elfia Castagna, Federico D'Agostino, Giulia Kuhlmann, Isabelle Mumford, Jack Odekerken, Daphne Russo, Fabrizio Sarkadi, Stefan Waller, Madeleine Xydis, Andreas |
| contents | This volume contains revised versions of the papers selected for the fourth 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_09444 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Online Handbook of Argumentation for AI: Volume 4 Bengel, Lars Blümel, Lydia Bezou-Vrakatseli, Elfia Castagna, Federico D'Agostino, Giulia Kuhlmann, Isabelle Mumford, Jack Odekerken, Daphne Russo, Fabrizio Sarkadi, Stefan Waller, Madeleine Xydis, Andreas Artificial Intelligence This volume contains revised versions of the papers selected for the fourth 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. |
| title | Online Handbook of Argumentation for AI: Volume 4 |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2401.09444 |