Aggregating Incomplete Pairwise Preferences by Weight
Authors: Zoi Terzopoulou, Ulle Endriss
IJCAI 2019 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Our main technical results concern the rules characterised by two normative principles (also known as axioms):1 ... We find that restricted majoritarianism characterises the rule with constant weights and that (certain) splitting axioms characterise the rule where an agent s weight is inversely proportional to the size of her reported preference set (we call this the even-and-equal-weight rule). These results are robust across all types of output requirements. ... Finally, we spell out basic complexity results for all the rules introduced. |
| Researcher Affiliation | Academia | Zoi Terzopoulou , Ulle Endriss Institute for Logic, Language and Computation, University of Amsterdam z.terzopoulou@uva.nl, u.endriss@uva.nl |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not contain any explicit statements about the release of open-source code or links to a code repository. |
| Open Datasets | No | The paper is theoretical and does not conduct experiments on publicly available datasets that require specific access information. |
| Dataset Splits | No | The paper is theoretical and does not involve empirical experiments with training, validation, and test dataset splits. |
| Hardware Specification | No | The paper is theoretical and does not describe any specific hardware used for running experiments. |
| Software Dependencies | No | The paper is theoretical and does not mention specific ancillary software or library versions needed for replication. |
| Experiment Setup | No | The paper is theoretical and does not describe specific experimental setups, hyperparameters, or training configurations. |