Proportional Budget Allocations: Towards a Systematization
Authors: Maaike Los, Zoé Christoff, Davide Grossi
IJCAI 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We define novel proportionality axioms for participatory budgeting and test them on known proportionality-driven rules such as Phragm en and Rule X. We investigate logical implications among old and new axioms and provide a systematic overview of proportionality criteria in participatory budgeting. (Abstract) and Second, we provide an overview of the logical relations between proportionality axioms in MWV and PB, establishing several novel results (see Figure 1). The resulting picture contributes to a systematization of how proportionality is interpreted in PB. Only selected proofs are provided. (Contribution section) |
| Researcher Affiliation | Academia | 1University of Groningen 2University of Amsterdam {m.d.los, z.l.christoff, d.grossi}@rug.nl |
| Pseudocode | No | The paper describes voting rules in prose, but it does not include any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any specific repository links or explicit statements about the release of open-source code for the described methodology. |
| Open Datasets | No | The paper is theoretical and does not use datasets for training, evaluation, or hypothesis validation. Examples are provided for illustration purposes only, without any indication of public availability or access. |
| Dataset Splits | No | The paper is theoretical and does not involve empirical evaluation with data, hence no training, validation, or test splits are defined or used. |
| Hardware Specification | No | The paper is theoretical and does not describe any empirical experiments, therefore no hardware specifications are provided. |
| Software Dependencies | No | The paper is theoretical and does not detail any specific software dependencies with version numbers required for replication. |
| Experiment Setup | No | The paper is theoretical and does not involve an experimental setup with specific hyperparameters or system-level training settings. |