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].
Swap Stability in Schelling Games on Graphs
Authors: Aishwarya Agarwal, Edith Elkind, Jiarui Gan, Alexandros Voudouris1758-1765
AAAI 2020 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We study the existence, computational complexity and quality of equilibrium assignments in these games, both from a social welfare perspective and from a diversity perspective. We prove bounds on the price of anarchy and the price of stability for many interesting cases, and show that computing an assignment with high social welfare is NP-complete |
| Researcher Affiliation | Academia | Aishwarya Agarwal, Edith Elkind, Jiarui Gan, Alexandros A. Voudouris Department of Computer Science, University of Oxford EMAIL, EMAIL |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper is theoretical and does not mention releasing source code for any described methodology. It refers to an arXiv pre-print for full proofs, not code. |
| Open Datasets | No | The paper is theoretical and does not use or refer to any datasets for training or evaluation. |
| Dataset Splits | No | The paper is theoretical and does not describe experimental setups involving training, validation, or test data splits. |
| Hardware Specification | No | The paper is theoretical and does not describe any hardware specifications used for experiments. |
| Software Dependencies | No | The paper is theoretical and does not list any specific software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not describe any experimental setup details, hyperparameters, or training configurations. |