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 [1].

A Description Logic for Analogical Reasoning

Authors: Steven Schockaert, Yazmin Ibanez-Garcia, Victor Gutierrez-Basulto

IJCAI 2021 | Venue PDF | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical We start from the semantics proposed by Ib a nez-Garc ıa et al. [2020], which extends the EL semantics by assigning to each individual a set of features... We show that having access to these features in the semantics also allows us to formalise analogies. We then analyse the properties of analogies under the proposed semantics, and show among others how it enables two plausible inference patterns: rule translation and rule extrapolation.
Researcher Affiliation Academia Steven Schockaert , Yazm ın Ib a nez-Garc ıa , V ıctor Guti errez-Basulto Cardiff University, UK EMAIL
Pseudocode No The paper contains formal definitions and logical expressions but no pseudocode or algorithm blocks.
Open Source Code No An appendix with proofs of all results, as well as counterexamples for some claims, is available at https://arxiv.org/abs/2105.04620 - This link is for proofs, not source code. The paper is theoretical and does not mention any source code release.
Open Datasets No The paper is theoretical and does not use any datasets for training or evaluation.
Dataset Splits No The paper is theoretical and does not describe any experiments or dataset splits.
Hardware Specification No The paper is theoretical and does not mention any hardware specifications.
Software Dependencies No The paper is theoretical and does not mention any specific software dependencies or versions.
Experiment Setup No The paper is theoretical and does not describe any experimental setup or hyperparameters.