# Deeply Semantic Inductive Spatio-Temporal Learning

arXiv: https://arxiv.org/abs/1608.02693 · HTML: https://mlsanity.com/paper/1608.02693/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 9 Aug 2016.

## Built on by (most cited first, 1 of 1)

- [A Community-driven vision for a new Knowledge Resource for AI](https://mlsanity.com/paper/2506.16596/) (2025)

## Abstract (arXiv)

We present an inductive spatio-temporal learning framework rooted in inductive logic programming. With an emphasis on visuo-spatial language, logic, and cognition, the framework supports learning with relational spatio-temporal features identifiable in a range of domains involving the processing and interpretation of dynamic visuo-spatial imagery. We present a prototypical system, and an example application in the domain of computing for visual arts and computational cognitive science.