Armstrong’s Axioms and Navigation Strategies

Authors: Kaya Deuser, Pavel Naumov

AAAI 2018 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical The main technical results are soundness and completeness theorems for the logical systems describing properties of navigability with and without perfect recall.
Researcher Affiliation Academia Kaya Deuser, Pavel Naumov Vassar College 124 Raymond Avenue Poughkeepsie, NY 12604 {kdeuser, pnaumov}@vassar.edu
Pseudocode No No pseudocode or algorithm blocks were found. The paper primarily presents definitions, lemmas, and theorems for logical systems.
Open Source Code No No mention or link to open-source code for the methodology described in the paper was found.
Open Datasets No The paper is theoretical and does not involve training data, datasets, or experiments that would require a public dataset for training. Transition system T0 is used as an example for illustration, not as a dataset.
Dataset Splits No The paper is theoretical and does not involve training, validation, or test splits for data. It defines logical systems and proves theorems.
Hardware Specification No No hardware specifications (e.g., specific GPU/CPU models, memory details) were mentioned. The paper is theoretical and does not describe computational experiments that would require specific hardware.
Software Dependencies No No specific software dependencies with version numbers (e.g., Python 3.8, PyTorch 1.9) were listed. The paper focuses on theoretical contributions.
Experiment Setup No No specific experimental setup details, such as hyperparameters or training configurations, were provided. The paper is theoretical and does not describe computational experiments.