We sketch a simple, but cognitively powerful architecture of an intelligent agent. The model makes use of two complementary internal world models: one for the "syntax" of the investigated world, and one for its semantics. These models solve the problem of concepts understanding and support algorithmic processes such as imitation learning and communication, language, thinking, and consciousness development.