Deeply Semantic Inductive Spatio-Temporal Learning [article]

Jakob Suchan and Mehul Bhatt and Carl Schultz
2016 arXiv   pre-print
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.
arXiv:1608.02693v1 fatcat:dg4tu36lbjcidpyp3tz2zxxwai