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].
Altruism in Coalition Formation Games
Authors: Anna Maria Kerkmann, Jörg Rothe
IJCAI 2020 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We propose to extend their model to coalition formation games in general, considering also the friends in other coalitions. Comparing the two models, we argue that excluding some friends from the altruistic behavior of an agent is a major disadvantage that comes with the restriction to hedonic games. After introducing our model, we additionally study some common stability notions and provide a computational analysis of the associated verification and existence problems. |
| Researcher Affiliation | Academia | Anna Maria Kerkmann and J org Rothe Institut f ur Informatik, Heinrich-Heine-Universit at D usseldorf, Germany EMAIL |
| Pseudocode | No | The paper describes theoretical concepts, definitions, and theorems, but does not include any pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not mention providing open-source code for the described methodology. It is a theoretical paper. |
| Open Datasets | No | The paper focuses on theoretical analysis and computational complexity in coalition formation games. It does not use or reference any publicly available datasets for training or experimentation in the empirical sense. |
| Dataset Splits | No | The paper focuses on theoretical analysis and computational complexity. There is no mention of dataset splits (training, validation, test) as no empirical experiments are conducted. |
| Hardware Specification | No | The paper is theoretical and focuses on computational analysis. It does not mention any specific hardware used for experiments. |
| Software Dependencies | No | The paper is theoretical and focuses on computational analysis. It does not mention specific software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and focuses on computational analysis. It does not describe an experimental setup with hyperparameters or training settings. |