Knowledge representation in artificial intelligence systems based on the principles of ontoneuromorphogenesis and multi-agent modeling

The article provides the knowledge representation format in intelligent systems of decision-making based on the modeling of self-organization processes of so-called multi-agent recursive cognitive architectures (MuRCA). Elements of self-organizing MuRCA that manifest independent behavior of a goaldirected agent, that provide a possibility to make contracts for energy and information exchange, software infrastructure of agents creation and editing have been developed.