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..
Binary Aggregation by Selection of the Most Representative Voters
Authors: Ulle Endriss, Umberto Grandi
AAAI 2014 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Such approximation results form the technical core of the paper. We also introduce a third representative-voter rule, the ranked-voter rule, which although based on similarly natural basic principles is considerably less attractive from the point of view of approximation. |
| Researcher Affiliation | Academia | Ulle Endriss Institute for Logic, Language and Computation University of Amsterdam The Netherlands EMAIL Umberto Grandi Department of Mathematics University of Padova Italy EMAIL |
| Pseudocode | No | The paper describes procedures in prose and structured text, but does not include formal pseudocode blocks or sections labeled 'Algorithm'. |
| Open Source Code | No | The paper does not provide information or links regarding the release of open-source code for the described methodology. |
| Open Datasets | No | This paper is theoretical and uses illustrative examples rather than publicly available datasets for empirical training or evaluation. |
| Dataset Splits | No | This paper is theoretical and does not describe empirical experiments with dataset splits for training, validation, or testing. |
| Hardware Specification | No | The paper is theoretical and does not describe empirical experiments, therefore no hardware specifications are provided. |
| Software Dependencies | No | The paper is theoretical and does not describe empirical experiments, therefore no software dependencies with version numbers are listed. |
| Experiment Setup | No | The paper is theoretical and focuses on mathematical proofs and definitions, thus no experimental setup details or hyperparameters are provided. |