On the Relationship between P-log and LP
Authors: Evgenii Balai, Michael Gelfond
IJCAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | The paper investigates the relationship between knowledge representation languages P-log [Baral et al., 2004] and LPMLN [Lee et al., 2015] designed for representing and reasoning with logic and probability. We give a translation from an important subset of LPMLN to P-log which preserves probabilistic functions deļ¬ned by LPMLN programs and complements recent research [Lee and Wang, 2016] by the authors of LPMLN where they give a similar translation from a subset of P-log to their language. |
| Researcher Affiliation | Academia | Evgenii Balai and Michael Gelfond Texas Tech University, Lubbock Texas {evgenii.balai, michael.gelfond}@ttu.edu |
| Pseudocode | No | The paper describes a translation process and provides examples of rules and programs, but it does not contain structured pseudocode or clearly labeled algorithm blocks. |
| Open Source Code | No | The paper discusses future plans for developing solvers and inference engines based on this work, but it does not provide concrete access to source code for the methodology described in this paper, nor does it include specific repository links or explicit code release statements. |
| Open Datasets | No | The paper is theoretical and uses small illustrative examples of P-log and LPMLN programs, not publicly available datasets for training. There is no concrete access information (link, DOI, repository, or formal citation) for any dataset. |
| Dataset Splits | No | The paper does not describe any experiments that would involve dataset splits for training, validation, or testing, as it is a theoretical work. |
| Hardware Specification | No | The paper does not describe any computational experiments that would require hardware specifications. Therefore, no specific hardware details are provided. |
| Software Dependencies | No | The paper focuses on theoretical language translation and does not mention specific ancillary software dependencies with version numbers needed to replicate any experimental setup. |
| Experiment Setup | No | The paper is theoretical and does not describe any computational experiments that would require an experimental setup including hyperparameters or system-level training settings. |