Merging in the Horn Fragment

Authors: Adrian Haret, Stefan Rümmele, Stefan Woltran

IJCAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical In this paper, we provide a novel representation theorem for Horn merging by strengthening the standard merging postulates. Moreover, we present a concrete Horn merging operator satisfying all postulates. Due to lack of space, we do not include here the proofs of the claims found in the text.
Researcher Affiliation Academia Adrian Haret, Stefan R ummele, Stefan Woltran {haret, ruemmele, woltran}@dbai.tuwien.ac.at Institute of Information Systems Vienna University of Technology, Austria
Pseudocode No The paper does not contain any pseudocode or algorithm blocks.
Open Source Code No The paper does not provide any information about open-source code for the methodology described.
Open Datasets No The paper is theoretical and does not conduct experiments on datasets, therefore no dataset access information is provided.
Dataset Splits No The paper is theoretical and does not involve empirical experiments, thus no training/validation/test splits are mentioned.
Hardware Specification No The paper is theoretical and does not describe any hardware specifications for running experiments.
Software Dependencies No The paper is theoretical and does not provide specific software dependencies or version numbers.
Experiment Setup No The paper is theoretical and does not describe any experimental setup details such as hyperparameters or training settings.