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

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.

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.