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..
Multi-Scale Games: Representing and Solving Games on Networks with Group Structure
Authors: Kun Jin, Yevgeniy Vorobeychik, Mingyan Liu5497-5505
AAAI 2021 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Our numerical experiments demonstrate that the proposed approaches enable orders of magnitude improvements in scalability when computing Nash equilibria in such games. |
| Researcher Affiliation | Academia | 1 University of Michigan, Ann Arbor 2 Washington University in St. Louis |
| Pseudocode | Yes | Algorithm 1: BRD Algorithm |
| Open Source Code | No | The paper does not provide any concrete access information (link, explicit statement, or reference to supplementary materials) for open-source code for the described methodology. |
| Open Datasets | No | The paper mentions generating synthetic data ('We construct random 2-level games', 'The parameters of the utility functions are sampled uniformly in [0, 1]') but does not provide access information (link, DOI, repository, or formal citation) for a publicly available or open dataset. |
| Dataset Splits | No | The paper does not specify explicit training, validation, or test dataset splits (e.g., percentages, sample counts, or predefined citations) required for reproduction. |
| Hardware Specification | Yes | All experiments were performed on a machine with A 6-core 2.60/4.50 GHz CPU with hyperthreaded cores, 12MB Cache, and 16GB RAM. |
| Software Dependencies | No | The paper does not provide specific software dependencies with version numbers (e.g., programming languages, libraries, or solvers with their versions) that would be needed for replication. |
| Experiment Setup | Yes | We construct random 2-level games with utility functions based on Equation (11). Specifically, we generalize this utility so that Equation (11) represents only the level-1 portion, u(1) i , and let the level-2 utilities be u(2) k (xk,x Ik) = x(2) k P p=k vkpx(2) p for each group k. At every level, the existence of a link between two agents follows the Bernoulli distribution where Pexist = 0.1. If a link exists, we then generate a parameter for it. The parameters of the utility functions are sampled uniformly in [0, 1] without requiring symmetry. |