Evaluating Committees for Representative Democracies: the Distortion and Beyond
Authors: Michał Jaworski, Piotr Skowron
IJCAI 2020 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | In this model we theoretically and experimentally assess qualities of various multiwinner election rules. [...] To this end, we performed extensive computer simulations for several natural distribution of individuals preferred outcomes. In particular, our distributions generalize and extend the polarized model, as described above. |
| Researcher Affiliation | Academia | Michał Jaworski and Piotr Skowron University of Warsaw, Poland {m.jaworski, p.skowron}@mimuw.edu.pl |
| Pseudocode | No | The paper describes algorithms in text but does not include any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any information or links regarding the availability of open-source code for the methodology described. |
| Open Datasets | No | The paper describes generating synthetic data based on various distributions (Impartial Culture, Polarized Balanced/Imbalanced Society, (t, ξ)-Poles) but does not provide access to a pre-existing publicly available dataset. |
| Dataset Splits | No | The paper describes running 500 experiments for each distribution but does not mention dataset splits (training, validation, test) in the typical machine learning sense. |
| 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 provide specific software dependencies or version numbers needed to replicate the experiments. |
| Experiment Setup | Yes | In our experiments we focussed on instances with n = 500 voters, m = 100 candidates, and where the total number of issues is p = 100. We consider the following distributions of individuals preferences: Impartial Culture. [...] (ξ1, ξ2)-Polarized Balanced Society ((ξ1, ξ2)-PBS). [...] (ξ1, ξ2)-Polarized Imbalanced Society ((ξ1, ξ2)-PIS). [...] (t, ξ)-Poles. [...] For each distribution with a fixed set of parameters we ran 500 experiments; [...] The committee size is k = 31. [...] We consider three different distributions of weights: Uniform. Exponential. Binary. |