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..
Common Knowledge of Abstract Groups
Authors: Merlin Humml, Lutz Schröder
AAAI 2023 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We show that AGEL is EXPTIMEcomplete, with the lower bound established by reduction from standard group epistemic logic, and the upper bound by a satisfiability-preserving embedding into the full µ-calculus. Further main results include a finite model property (not enjoyed by the full µ-calculus) and a complete axiomatization. |
| Researcher Affiliation | Academia | Merlin Humml, Lutz Schr oder Friedrich-Alexander-Universit at Erlangen-N urnberg, Erlangen, Germany EMAIL |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks. It describes logical systems and transformations but without code-like formatting. |
| Open Source Code | No | The paper does not provide concrete access to source code. It makes no mention of code availability, repositories, or supplementary materials containing code. |
| Open Datasets | No | The paper is theoretical and does not use datasets for training. Thus, it does not provide concrete access information for a publicly available or open dataset. |
| Dataset Splits | No | The paper is theoretical and does not involve dataset splits for validation. Therefore, it does not provide specific dataset split information. |
| Hardware Specification | No | The paper is theoretical and does not involve experiments that would require specific hardware. Therefore, it does not provide specific hardware details. |
| Software Dependencies | No | The paper is theoretical and focuses on logic and complexity. It does not mention any specific software dependencies with version numbers for implementation or experimentation. |
| Experiment Setup | No | The paper is theoretical and does not describe experimental setups, hyperparameters, or training settings. |