# Selected Qualitative Spatio-temporal Calculi Developed for Constraint   Reasoning: A Review

**Authors:** Debasis Mitra

arXiv: 1812.02580 · 2018-12-07

## TL;DR

This paper reviews various qualitative spatio-temporal calculi developed for constraint reasoning in AI, highlighting their potential application in topological data analysis.

## Contribution

It provides a comprehensive overview of existing qualitative spatio-temporal calculi and discusses their relevance for broader AI and data analysis applications.

## Key findings

- Reviewed multiple qualitative spatio-temporal calculi
- Highlighted their applicability in topological data analysis
- Aimed to expose the community to these representations

## Abstract

In this article a few of the qualitative spatio-temporal knowledge representation techniques developed by the constraint reasoning community within artificial intelligence are reviewed. The objective is to provide a broad exposure to any other interested group who may utilize these representations. The author has a particular interest in applying these calculi (in a broad sense) in topological data analysis, as these schemes are highly qualitative in nature.

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Source: https://tomesphere.com/paper/1812.02580