I.A. Pshenokova, O.V. Nagoeva, Z.A. Sundukov, V.A. Denisenko
Institute of Computer Science and Problems of Regional Management – branch of Federal public budgetary scientific establishment “Federal scientific center “Kabardin-Balkar Scientific Center of the RussianAcademy of Sciences”
Annotation: This article represents a method for formalizing the semantics of natural language patterns based on the self-organization of multi-agent neurocognitive architectures. An architecture has been developed for creating conceptual agents that provide a semantic representation of images in a computer vision system.
The algorithm of image recognition and natural language understanding using multimodal interface is demonstrated.
Keywords: multi-agent system, natural language interface, image recognition, formal semantics, natural language understanding, intelligence system, neurocognitive architecture.