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..
Metaphysics of Planning Domain Descriptions
Authors: Siddharth Srivastava, Stuart Russell, Alessandro Pinto
AAAI 2016 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We presented an analysis of representational abstractions for planning problem specifications and proved several results categorizing abstraction mechanisms that exhibit desirable properties such as the Markov property. |
| Researcher Affiliation | Collaboration | Siddharth Srivastava1 and Stuart Russell2 and Alessandro Pinto1 1 United Technologies Research Center, Berkeley, CA 94705 2 Computer Science Division, University of California, Berkeley CA 94720 |
| Pseudocode | No | The paper includes definitions, theorems, and model specifications, but no structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any statement or link indicating the release of open-source code for the described methodology. |
| Open Datasets | No | The paper uses the 'blocks-world model' as an illustrative example, but it does not specify or provide access information for any publicly available or open dataset used for empirical evaluation. |
| Dataset Splits | No | As the paper is theoretical and does not conduct empirical studies, it does not provide training/test/validation dataset splits. |
| Hardware Specification | No | The paper does not provide any specific hardware details used for running experiments. |
| Software Dependencies | No | The paper does not list specific software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not describe experimental setup details like hyperparameters or system-level training settings. |