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..
The Limits of Morality in Strategic Games
Authors: Rui Cao, Pavel Naumov
IJCAI 2022 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | The main technical contribution is a sound and complete logical system for reasoning about limited blameworthiness in the strategic game setting. In this paper we propose a sound and complete logical system that captures the universal properties of limited blameworthiness modality Bs CĪ. |
| Researcher Affiliation | Academia | Rui Cao1 and Pavel Naumov2 1University of British Columbia, Canada 2University of Southampton, the United Kingdom EMAIL, EMAIL |
| Pseudocode | No | No pseudocode or clearly labeled algorithm blocks were found in the paper. |
| Open Source Code | No | No mention or link to open-source code for the described methodology was found. |
| Open Datasets | No | No datasets are mentioned as being used for training, as the paper is theoretical. |
| Dataset Splits | No | No specific dataset split information (percentages, sample counts, or citations to predefined splits) for training, validation, or testing was found, as the paper is theoretical. |
| Hardware Specification | No | No specific hardware details (like GPU/CPU models or types) used for running experiments were found, as the paper is theoretical and does not describe experiments. |
| Software Dependencies | No | No specific software dependencies with version numbers were mentioned, as the paper is theoretical and does not describe a software implementation. |
| Experiment Setup | No | No specific experimental setup details, such as hyperparameter values or training configurations, were found, as the paper is theoretical and does not describe empirical experiments. |