Abstract
The concept of a pattern recognition system for an intelligent system based on a multi-agent neurocognitive architecture is presented. The general multi-agent architecture of the recognition system is given. Algorithms for frame preprocessing and figure recognition similar to the organization of recognition in the primary and secondary visual cortex are presented. The basic principles of the structural and functional organization of the event recognition process using the processes of multi-agent interaction between specialized cognitive centers as part of the visual analyzer have been developed. The implementation of such an architecture will allow not only to select objects in the image, but also to create their ontology.
Published Version
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