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 Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
A Logic of Directions
Authors: Heshan Du, Natasha Alechina, Anthony G. Cohn
IJCAI 2020 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We propose a logic of directions for points (LD) over 2D Euclidean space, which formalises primary direction relations east (E), west (W), and indeterminate east/west (Iew), north (N), south (S) and indeterminate north/south (Ins). We provide a sound and complete axiomatisation of it, and prove that its satisfiability problem is NP-complete. |
| Researcher Affiliation | Academia | Heshan Du1 , Natasha Alechina2 and Anthony G. Cohn3 1University of Nottingham Ningbo China 2Utrecht University, Netherlands 3University of Leeds, UK |
| Pseudocode | No | The paper focuses on mathematical logic and proofs; it 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 described methodology. |
| Open Datasets | No | The paper is a theoretical work focusing on developing a logic and its properties; it does not use or reference any datasets for training or evaluation. |
| Dataset Splits | No | The paper is theoretical and does not involve experiments or dataset splits for training, validation, or testing. |
| Hardware Specification | No | The paper is theoretical and does not describe any experiments that would require specific hardware, therefore no hardware specifications are mentioned. |
| Software Dependencies | No | The paper is theoretical and does not mention any specific software dependencies with version numbers required for reproducibility. |
| Experiment Setup | No | The paper is a theoretical work on logic and does not involve an experimental setup with hyperparameters or system-level training settings. |