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].
The Logic of Doxastic Strategies
Authors: Junli Jiang, Pavel Naumov
AAAI 2024 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | The main technical contribution is a sound and complete logical system that describes the interplay between doxastic strategy and belief modalities. |
| Researcher Affiliation | Academia | Junli Jiang,1 Pavel Naumov2 1 Institute of Logic and Intelligence, Southwest University, China 2 University of Southampton, United Kingdom |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide concrete access to source code for the methodology described. |
| Open Datasets | No | The paper is theoretical and focuses on logical systems; it does not involve training on datasets or provide access information for any dataset. |
| Dataset Splits | No | The paper is theoretical and does not involve empirical validation on datasets, thus no dataset split information is provided. |
| Hardware Specification | No | The paper is theoretical and does not report on experiments requiring specific hardware specifications. |
| Software Dependencies | No | The paper is theoretical and does not mention specific software dependencies with version numbers for experimental replication. |
| Experiment Setup | No | The paper is theoretical and does not describe an experimental setup with hyperparameters or training configurations. |