  Recent research in artificial intelligence and machine learning has largely
emphasized general-purpose learning and ever-larger training sets and more and
more compute. In contrast, I propose a hybrid, knowledge-driven,
reasoning-based approach, centered around cognitive models, that could provide
the substrate for a richer, more robust AI than is currently possible.
