Proportionality Guarantees in Elections with Interdependent Issues
Authors: Markus Brill, Evangelos Markakis, Georgios Papasotiropoulos, Jannik Peters
IJCAI 2023 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Our findings indicate that the conditional case poses additional challenges and differs significantly from the unconditional one, both in terms of proportionality guarantees and computational complexity. |
| Researcher Affiliation | Collaboration | 1University of Warwick, Coventry, UK 2Athens University of Economics and Business, Athens, Greece 3Input Output Global (IOG) 4TU Berlin, Berlin, Germany |
| Pseudocode | No | The paper describes algorithms (Conditional Proportional Approval Voting and Conditional Method of Equal Shares) but does not include structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not include an explicit statement about releasing source code for the methodology or a link to a code repository. |
| Open Datasets | No | The paper is theoretical and focuses on mathematical proofs and analysis of voting rules; it does not use or reference any datasets for training or evaluation. |
| Dataset Splits | No | The paper is theoretical and does not involve empirical experiments with dataset splits (training, validation, test). |
| Hardware Specification | No | The paper is theoretical and does not describe any specific hardware used for experiments. |
| Software Dependencies | No | The paper is theoretical and does not specify any ancillary software or library versions used for implementation or experiments. |
| Experiment Setup | No | The paper is theoretical and does not describe an experimental setup with specific hyperparameters or system-level training settings. |