Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
A Constructive Argumentation Framework
Authors: Souhila Kaci, Yakoub Salhi
AAAI 2014 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We develop constructive argumentation framework. We show that intuitionistic logic offers nice and desirable properties of the arguments. We also provide a characterization of the arguments in this setting in terms of minimal inconsistent subsets when intuitionistic logic is embedded in the modal logic S4. |
| Researcher Affiliation | Academia | Souhila Kaci LIRMM UMR 5506, University of Montpellier 2 161 rue ADA F34392 Montpellier Cedex 5, France EMAIL Yakoub Salhi CRIL UMR 8188, University of Artois F-62307 Lens Cedex, France EMAIL |
| Pseudocode | No | The paper includes logical definitions, propositions, and a sequent calculus (GIPL) but no pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any statement or link indicating the release of open-source code for the described methodology. |
| Open Datasets | No | The paper is theoretical and focuses on logical frameworks; it does not involve the use of datasets for training or experimentation, and therefore provides no information about public dataset access. |
| Dataset Splits | No | The paper is theoretical and does not describe empirical experiments involving dataset splits for training, validation, or testing. |
| Hardware Specification | No | The paper is theoretical and does not describe any computational experiments that would require specific hardware specifications. |
| Software Dependencies | No | The paper is theoretical and does not describe any software implementations or dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and focuses on logical framework development; it does not include details about an experimental setup, hyperparameters, or training configurations. |