Phragmén Rules for Degressive and Regressive Proportionality
Authors: Michał Jaworski, Piotr Skowron
IJCAI 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We will now analyze, through experiments, how voters satisfaction depends on using committee election rules implementing different types of proportionality. We ran 1000 simulations for each scenario. In Table 1 we give numerical values quantifying the voters satisfaction. From the experiments we conclude: |
| Researcher Affiliation | Academia | Michał Jaworski and Piotr Skowron University of Warsaw, Poland {m.jaworski, p.skowron}@mimuw.edu.pl |
| Pseudocode | No | The paper describes the rules and procedures in narrative text with examples but does not include structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide explicit statements or links to open-source code for the methodology described. |
| Open Datasets | No | The paper describes generating synthetic data from beta distributions rather than using a named, publicly available dataset with concrete access information: 'We draw the individuals independently at random from beta distributions, scaled into [-1, 1].' |
| Dataset Splits | No | The paper describes running simulations with generated data but does not specify train/validation/test dataset splits. It states: 'We ran 1000 simulations for each scenario.' |
| Hardware Specification | No | The paper does not provide any specific details about the hardware used to run the experiments. |
| Software Dependencies | No | The paper does not specify any software dependencies with version numbers. |
| Experiment Setup | Yes | In the simulations we consider instances with n = 200 voters, m = 150 candidates and for the committee size k = 25. What is more, we set the acceptance radius τ = 0.2 and the parameters of the probability function pη to: τ = 30, δ = 120. |