Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in [1].
Modelling Iterative Judgment Aggregation
Authors: Zoi Terzopoulou, Ulle Endriss
AAAI 2018 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We introduce a formal model of iterative judgment aggregation, enabling the analysis of scenarios in which agents repeatedly update their individual positions on a set of issues, before a ๏ฌnal decision is made by applying an aggregation rule to these individual positions. Focusing on two popular aggregation rules, the premise-based rule and the plurality rule, we study under what circumstances convergence to an equilibrium can be guaranteed. We also analyse the quality, in social terms, of the ๏ฌnal decisions obtained. |
| Researcher Affiliation | Academia | Zoi Terzopoulou Institute for Logic, Language and Computation University of Amsterdam The Netherlands EMAIL Ulle Endriss Institute for Logic, Language and Computation University of Amsterdam The Netherlands EMAIL |
| Pseudocode | No | The paper does not contain any pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any statement or link regarding the availability of open-source code for the described methodology. |
| Open Datasets | No | This is a theoretical paper that does not use or reference empirical datasets for training. |
| Dataset Splits | No | This is a theoretical paper that does not involve data splits for validation. |
| Hardware Specification | No | This is a theoretical paper and does not describe hardware specifications for experiments. |
| Software Dependencies | No | This is a theoretical paper and does not list software dependencies with version numbers. |
| Experiment Setup | No | This is a theoretical paper and does not describe experimental setup details or hyperparameters. |