Summary of Online Handbook Of Argumentation For Ai: Volume 4, by Lars Bengel et al.
Online Handbook of Argumentation for AI: Volume 4
by Lars Bengel, Lydia Blümel, Elfia Bezou-Vrakatseli, Federico Castagna, Giulia D’Agostino, Isabelle Kuhlmann, Jack Mumford, Daphne Odekerken, Fabrizio Russo, Stefan Sarkadi, Madeleine Waller, Andreas Xydis
First submitted to arxiv on: 20 Dec 2023
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This revised volume of the Online Handbook of Argumentation for AI (OHAAI) features selected papers that explore formal theories of argument and argument interaction. Building on recent studies, this handbook provides a curated anthology of research on argumentation as a field within artificial intelligence (AI). It focuses on symbolic representations of knowledge and defeasible reasoning, making it relevant to researchers interested in the theoretical foundations of AI. The purpose of OHAAI is to serve as an open-access hub for tracking the latest PhD-driven research on theory and application of argumentation across various AI-related areas. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This handbook collects papers that explore how arguments work and interact with each other. It’s like a big book about how we can use computers to understand and make decisions based on reasons. The researchers who wrote these papers are trying to figure out how to make computers think more like humans do when we reason. This is important because it can help us create better artificial intelligence that can make smart choices. |
Keywords
* Artificial intelligence * Tracking
