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..
Revisiting Unrestricted Rebut and Preferences in Structured Argumentation.
Authors: Jesse Heyninck, Christian Straßer
IJCAI 2017 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Our resulting system satisfies the usual rationality postulates for prioritized rule bases. and Theorem 1. | Ge Re satisfies Direct Consistency, Closure, Indirect Consistency and Non-Interference for any AS = (L, S, D, K, , ) such that S is closed under T, R and C and is a total preorder. |
| Researcher Affiliation | Academia | Jesse Heyninck and Christian Straßer Ruhr University Bochum, Germany EMAIL, EMAIL |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any statement or link regarding the availability of open-source code for the described methodology. |
| Open Datasets | No | The paper is theoretical and does not involve the use of datasets, therefore no training data access information is provided. |
| Dataset Splits | No | The paper is theoretical and does not involve the use of datasets for empirical validation, thus no dataset split information is provided. |
| Hardware Specification | No | The paper is theoretical and does not involve computational experiments, so no hardware specifications are mentioned. |
| Software Dependencies | No | The paper is theoretical and does not discuss specific software dependencies with version numbers required for replication. |
| Experiment Setup | No | The paper is theoretical and does not describe any experimental setup details, hyperparameters, or training configurations. |