News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2023 Issue 6,Pages 226–234(Mi izkab736)
System analysis, management and information processing
Simulation model of a neurocognitive control system
for an autonomous software agent performing cooperative behavior
to automatically replenish ontologies
Abstract:
. A circuit of the control system of an intelligent agent has been developed, which ensures the
formation of semantic ontologies of the “agent – environment” system, combining on the basis of
interneuron associations functional representations of the current observed states of the agent and
statements of counterparties in the communicative environment. Based on the ontoneuromorphogenesis
algorithm, axo-dendronal connections grow, which is aimed at reflecting the cause-and-effect
relationships between events that describe the context of the situation, events that describe the subject of
the statement, and the event that describes the statement itself. According to the results of experiments of
the simulation model it was concluded that the multi-agent algorithm for the autonomous synthesis of
functional systems of semantic ontologies based on the growth and development of neurocognitive
architectures can be applied to any subject area.