Connecting Qualitative Spatial and Temporal Representations by Propositional Closure
Authors: Diedrich Wolter, Jae Hee Lee
IJCAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | This paper establishes new relationships between existing qualitative spatial and temporal representations. ... In this paper we consider propositional closures of qualitative constraints which enable progress with respect to the longstanding challenge. Propositional closure allows one to establish several translations between distinct calculi. This enables joint reasoning and provides new insights into computational complexity of individual calculi. |
| Researcher Affiliation | Academia | Diedrich Wolter Smart Environments University of Bamberg Germany diedrich.wolter@uni-bamberg.de Jae Hee Lee QCIS, FEIT University of Technology Sydney Australia jaehee.lee@uts.edu.au |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any concrete access information for open-source code related to the described methodology. |
| Open Datasets | No | The paper is theoretical and does not conduct experiments involving datasets or training. Thus, there is no mention of publicly available datasets. |
| Dataset Splits | No | The paper is theoretical and does not conduct experiments involving data. Therefore, there are no mentions of training, validation, or test dataset splits. |
| Hardware Specification | No | The paper is theoretical and does not describe any specific hardware used for experiments. |
| Software Dependencies | No | The paper is theoretical and does not specify any software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not describe an experimental setup with hyperparameters or system-level training settings. |