Enhancing Fragmentary Spatial–Temporal Reasoning through Hybrid Qualitative Calculi: An Integrated Approach for Robust Inference under Incomplete Observations

Saba Majeed ()
Additional contact information
Saba Majeed: University of Agriculture, Faisalabad, Pakistan

Frontiers in Computational Spatial Intelligence, 2024, vol. 2, issue 2, 75-84

Abstract: Fragmentary observations of spatial and temporal phenomena pose a significant challenge in fields such as GIS, autonomous navigation, and cognitive robotics, where comprehensive data is often unavailable. This study investigates an integrated approach to spatial–temporal reasoning under incomplete data conditions by combining fragmentary representations with hybrid qualitative reasoning calculi. We model spatial relations using Region Connection Calculus (RCC8) and temporal dependencies using Allen’s Interval Algebra, and subsequently integrate these through a hybrid reasoning framework that supports contextual inference and cross-domain relational mapping. Using both publicly available and synthetically generated datasets, we evaluate the performance of individual calculi and the proposed hybrid model under various fragmentation levels (20%, 40%, 60%). Results show that the hybrid model significantly improves reasoning accuracy, particularly in highly fragmented scenarios, with marked reductions in relational confusion and misclassification. Our findings confirm that hybrid reasoning systems offer enhanced robustness and interpretability, making them suitable for real-time and uncertain environments. This work contributes to the development of intelligent systems capable of dynamic decision-making under data sparsity, and paves the way for future research in hybrid reasoning architectures.

Keywords: Spatial–Temporal Reasoning; Fragmentary Observations; Region Connection Calculus (RCC8); Allen’s Interval Algebra (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journal.xdgen.com/index.php/FCSI/article/view/317/378 (application/pdf)
https://journal.xdgen.com/index.php/FCSI/article/view/317 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:abq:fcsi11:v:1:y:2023:i:2:p:75-84

Access Statistics for this article

Frontiers in Computational Spatial Intelligence is currently edited by Dr. Mansoor Ali Khan

More articles in Frontiers in Computational Spatial Intelligence from 50sea
Bibliographic data for series maintained by Dr. Shehzad Hassan ().