Part 1. Plenary reports

Brain-inspired new agi architectures

S. A. Shumsky

NTI Centre of competence Artificial Intelligence, MIPT, laboratory for cognitive architectures

Abstract: We consider how in the course of biological evolution the brain gradually formed a hierarchical architecture of deep reinforcement learning. Based on this architecture, a working AGI model, ADAM, is proposed, capable of learning more and more complex behavioral skills as the depth of the hierarchy of control levels increases.

Keywords: artificial general intelligence, deep reinforcement learning, hierarchical control systems.