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 Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Hedonic Games with Fixed-Size Coalitions
Authors: Vittorio Bilò, Gianpiero Monaco, Luca Moscardelli9287-9295
AAAI 2022 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We investigate, in additively separable hedonic games with symmetric preferences, the fundamental questions of existence, complexity and efficiency of the three types of swap stability defined above, and that of complexity of a social optimum. |
| Researcher Affiliation | Academia | Vittorio Bil o,1 Gianpiero Monaco,2 Luca Moscardelli3 1 Univ. of Salento, Italy 2 Univ. of L Aquila, Italy 3 Univ. of Chieti-Pescara, Italy |
| Pseudocode | No | The paper describes algorithms in prose but does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any concrete access information (link, explicit statement of release, or mention in supplementary material) for the source code of the methodology described. |
| Open Datasets | No | The paper is theoretical and does not describe the use of datasets for training or evaluation. |
| Dataset Splits | No | The paper is theoretical and does not involve training, validation, or test splits of data. |
| Hardware Specification | No | The paper is theoretical and does not describe an experimental setup requiring specific hardware specifications. |
| Software Dependencies | No | The paper is theoretical and does not list specific software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not describe an experimental setup with specific hyperparameters or system-level training settings. |