  The exploration of geometrical patterns stimulates imagination and encourages
abstract reasoning which is a distinctive feature of human intelligence. In
cognitive science, Gestalt principles such as symmetry have often explained
significant aspects of human perception. We present a computational technique
for building artificial intelligence (AI) agents that use symmetry as the
organizing principle for addressing Dehaene's test of geometric intelligence
\cite{dehaene2006core}. The performance of our model is on par with extant AI
models of problem solving on the Dehaene's test and seems correlated with some
elements of human behavior on the same test.
