Committee Scoring Rules: Axiomatic Classification and Hierarchy
Authors: Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Nimrod Talmon
IJCAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We consider several natural classes of committee scoring rules, namely, weakly separable, representation-focused, top-k-counting, OWAbased, and decomposable rules. We study some of their axiomatic properties, especially properties of monotonicity, and concentrate on containment relations between them. We characterize SNTV, Bloc, and k-approval Chamberlin Courant, as the only rules in certain intersections of these classes. We introduce decomposable rules, describe some of their applications, and show that the class of decomposable rules strictly contains the class of OWA-based rules. |
| Researcher Affiliation | Academia | Piotr Faliszewski AGH University Krakow, Poland faliszew@agh.edu.pl Piotr Skowron University of Oxford Oxford, United Kingdom p.k.skowron@gmail.com Arkadii Slinko University of Auckland Auckland, New Zealand a.slinko@auckland.ac.nz Nimrod Talmon Weizmann Institute of Science Rehovot, Israel nimrodtalmon77@gmail.com |
| Pseudocode | No | The paper focuses on theoretical analysis, definitions, and proofs. It does not include any pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any statement about releasing source code or a link to a code repository for the described methodology. |
| Open Datasets | No | This is a theoretical paper focusing on axiomatic classification and properties of committee scoring rules. It does not involve empirical studies, datasets, or training. |
| Dataset Splits | No | This is a theoretical paper and does not involve empirical evaluation with datasets, thus no training/validation/test splits are discussed. |
| Hardware Specification | No | This is a theoretical paper. No hardware specifications for running experiments are mentioned. |
| Software Dependencies | No | This is a theoretical paper. No specific software dependencies with version numbers are mentioned in relation to experiments or implementation. |
| Experiment Setup | No | This is a theoretical paper and does not describe any experimental setup, hyperparameters, or system-level training settings. |