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..
A Parameterized Complexity Analysis of Generalized CP-Nets
Authors: Martin Kronegger, Martin Lackner, Andreas Pfandler, Reinhard Pichler
AAAI 2014 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We have studied this question experimentally by randomly generating conditional preference rules... Figure 1 shows the average values of the diameter, the maximum diameter and the average distance in GCP-nets with 12 variables. |
| Researcher Affiliation | Academia | Martin Kronegger, Martin Lackner, Andreas Pfandler, and Reinhard Pichler Vienna University of Technology, Austria EMAIL |
| Pseudocode | No | No pseudocode or clearly labeled algorithm block was found in the paper. The paper focuses on theoretical complexity analysis and proofs. |
| Open Source Code | No | The paper does not contain any explicit statement about releasing source code for the described methodology, nor does it provide a link to a code repository. |
| Open Datasets | No | The paper describes generating synthetic data ('randomly generating conditional preference rules') for its experimental studies rather than using a publicly available or open dataset. No concrete access information for a dataset is provided. |
| Dataset Splits | No | The paper's experimental section focuses on characterizing properties of randomly generated GCP-nets, not on training or evaluating a model. Therefore, no explicit training/validation/test dataset splits are described. |
| Hardware Specification | No | The paper does not provide any specific hardware details (e.g., GPU/CPU models, memory) used for running its experiments or computations. |
| Software Dependencies | No | The paper does not provide specific ancillary software details, such as library names or solver versions, that would be needed to replicate the experiments or theoretical computations. |
| Experiment Setup | Yes | We have investigated the relationship between the number of conditional preferences rules and the diameter. For each number of rules we have generated 100 GCP-nets randomly and calculated the diameter and the average distance between any two vertices in the preference graph. |