On the Axiomatic Characterization of Runoff Voting Rules
Authors: Rupert Freeman, Markus Brill, Vincent Conitzer
AAAI 2014 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We characterize runoff rules that are based on scoring rules using two axioms: a weakening of local independence of irrelevant alternatives and a variant of population-consistency. We then show, as our main technical result, that STV is the only runoff scoring rule satisfying an independence-of-clones property. Furthermore, we provide axiomatizations of Baldwin s rule and Coombs rule. |
| Researcher Affiliation | Academia | Rupert Freeman and Markus Brill and Vincent Conitzer Department of Computer Science Duke University Durham, NC 27708, USA {rupert,brill,conitzer}@cs.duke.edu |
| Pseudocode | No | The paper contains mathematical definitions and proofs but does not include any pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any explicit statements or links indicating that the source code for the described methodology is publicly available. |
| Open Datasets | No | The paper is theoretical and does not use or reference any datasets for training. |
| Dataset Splits | No | The paper is theoretical and does not involve data splits for training, validation, or testing. |
| Hardware Specification | No | The paper is theoretical and does not describe any experiments, therefore no hardware specifications are mentioned. |
| Software Dependencies | No | The paper is theoretical and does not describe any software dependencies or versions. |
| Experiment Setup | No | The paper is theoretical and does not include an experimental setup with hyperparameters or training settings. |