Abstract
The paper proposes a simulation model of energy exchange in an intelligent decision-making system based on a multi-agent neurocognitive architecture that has a neurofunctional and structural similarity to the neural groups of the brain. An invariant of multi-agent neurocognitive architecture is presented. An algorithm for energy exchange between agneurons and actors at different levels of the intelligent agent invariant has been developed. Further work will be to test the presented architecture in the simulation program being developed.
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