A Comparative Study of Ranking Formulas Based on Consistency

Authors: Badran Raddaoui, Christian Straßer, Said Jabbour

IJCAI 2023 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical By means of the postulate-based and comparative study, this paper provides a first systematic study of different approaches to ranking formulas based on consistency considerations. In this paper, a framework for ranking semantics in propositional logic was presented, where formulas are ranked based on consistency by using solely the inherent structure of the knowledge base.
Researcher Affiliation Academia 1SAMOVAR, T el ecom Sud Paris, Institut Polytechnique de Paris, France 2Institute for Philosophy II, Ruhr University Bochum, Germany 3CRIL CNRS, Universit e d Artois, France
Pseudocode No The paper defines concepts and semantics mathematically but does not include any structured pseudocode or algorithm blocks.
Open Source Code No The paper does not contain any statement or link indicating that source code for the described methodology is publicly available.
Open Datasets No The paper uses illustrative examples (e.g., Example 1, K1) to demonstrate concepts but does not utilize or refer to any publicly available datasets for training or evaluation.
Dataset Splits No The paper is theoretical and does not involve empirical experiments with datasets that require validation splits. No dataset split information is provided.
Hardware Specification No The paper describes a theoretical framework and does not report on empirical experiments, thus no hardware specifications are mentioned.
Software Dependencies No The paper outlines a theoretical framework and does not report on empirical experiments, therefore no specific software dependencies with version numbers are mentioned.
Experiment Setup No The paper presents a theoretical framework and does not conduct empirical experiments, hence there are no details provided regarding experimental setup or hyperparameters.