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].
Distance Polymatrix Coordination Games
Authors: Alessandro Aloisio, Michele Flammini, Bojana Kodric, Cosimo Vinci
IJCAI 2021 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We study the social inefficiency of equilibria resorting to standard measures of Price of Anarchy and Price of Stability. Namely, we provide suitable upper and lower bounds for the aforementioned quantities, both for bounded-degree and general graphs. |
| Researcher Affiliation | Academia | Gran Sasso Science Institute, L Aquila, Italy 2University of L Aquila, Italy EMAIL |
| Pseudocode | No | The paper does not contain any pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any concrete access to source code for the methodology described. |
| Open Datasets | No | The paper is theoretical and does not involve the use of datasets for training; therefore, it does not provide information about public availability of training data. |
| Dataset Splits | No | The paper is theoretical and does not involve empirical experimentation; therefore, it does not specify data splits for validation. |
| Hardware Specification | No | The paper is theoretical and does not describe any specific hardware used for running experiments. |
| Software Dependencies | No | The paper is theoretical and does not describe any specific software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not detail an experimental setup with specific hyperparameters or system-level training settings. |