A BTP-Based Family of Variable Elimination Rules for Binary CSPs

Authors: Achref El Mouelhi3871

AAAI 2017 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical The main contribution of this work is providing a new weaker-form of BTP, called m-f BTP, which allows variable elimination and defines a new tractable class for which arc consistency is a decision procedure. The results proven in this paper also provide theoretical insight into the relationship between m-f BTP and some others previous extension of BTP such as k-BTP, m-w BTP, WBTP (Naanaa 2016).
Researcher Affiliation Academia Achref El Mouelhi Aix Marseille Univ, Universit e de Toulon CNRS, ENSAM, LSIS Marseille, France achref.elmouelhi@lsis.org
Pseudocode No The paper does not contain any structured pseudocode or algorithm blocks.
Open Source Code No The paper does not provide any explicit statements or links regarding open-source code for the described methodology.
Open Datasets No The paper is theoretical and does not describe experiments involving datasets, thus no information on public dataset access is provided.
Dataset Splits No The paper is theoretical and does not involve empirical validation or dataset splits.
Hardware Specification No The paper is theoretical and does not describe any experiments that would require hardware specifications.
Software Dependencies No The paper is theoretical and does not describe any experiments that would require specific software dependencies with version numbers.
Experiment Setup No The paper is theoretical and does not describe an experimental setup, hyperparameters, or training settings.