  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.
