Krasnoyarsk, Russian Federation
Krasnoyarsk, Russian Federation
The article investigates the role of neural networks and multi-agent systems as key technological components of an emerging economy in the context of transition to an integrated cyber-information society. The authors define neural networks as specific electronic-software organizational modules, having a holistic techno-electronic essence, and describe the three-stage process of their formation: creation of an electronic architecture, primary education and integration into the structure of social relations. The problems at each stage of development of neural networks and their functional role in modern society are considered. Special attention is given to the formation of multi-agent systems based on neural networks, which are self-developing IT-intelligent clusters. The application of software robots is analyzed in key areas of economy: financial technology, health care, logistics, industry and electronic commerce. In the example of health care, the features and prospects of the use of software robots are examined in detail. The authors predict the expansion of the application of multi-agent systems in education, law, agriculture, urban management and everyday life, highlighting their potential for automating processes, increasing efficiency and personalizing solutions.
neural networks, multi-agent systems, artificial intelligence, software robots, the cyber-information society, digital economy, machine learning
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