Qualitative Spatial & Temporal Reasoning (QSTR)
is a major field of study in Symbolic AI that deals
with the representation and reasoning of spatio-
temporal information in an abstract, human-like
manner. We survey the current status of QSTR
from a viewpoint of reasoning approaches, and
identify certain future challenges that we think
that, once overcome, will allow the field to meet
the demands of and adapt to real-world, dynamic,
and time-critical applications of highly active areas
such as machine learning and data mining.
AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning
