On the Aggregation of Argumentation Frameworks
Authors: Jérôme Delobelle, Sébastien Konieczny, Srdjan Vesic
IJCAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We study the problem of aggregation of Dung s abstract argumentation frameworks. Some operators for this aggregation have been proposed, as well as some rationality properties for this process. In this work we study the existing operators and new ones that we propose in light of the proposed properties, highlighting the fact that existing operators do not satisfy a lot of these properties. |
| Researcher Affiliation | Academia | J erˆome Delobelle S ebastien Konieczny Srdjan Vesic CRIL, CNRS Universit e d Artois Lens, France {delobelle, konieczny, vesic}@cril.fr |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks (clearly labeled algorithm sections or code-like formatted procedures). |
| Open Source Code | No | The paper does not provide any concrete access to source code for the methodology described. There are no specific repository links, explicit code release statements, or indications of code in supplementary materials. |
| Open Datasets | No | The paper is theoretical and does not involve empirical studies with datasets, training, or public data access. Therefore, no information about publicly available datasets or access is provided. |
| Dataset Splits | No | The paper is theoretical and does not involve empirical studies with dataset splits for training, validation, or testing. Therefore, no specific dataset split information is provided. |
| Hardware Specification | No | The paper is theoretical and does not describe any experiments that would require specific hardware. Therefore, no specific hardware details are provided. |
| Software Dependencies | No | The paper is theoretical and does not describe any computational experiments or implementations that would require specific software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not describe an experimental setup with concrete hyperparameter values, training configurations, or system-level settings. |