Autonomous formation of a user model based on digital footprint data in the internet space based on training multi-agent neurocognitive architectures

The basic principles of simulation of user behavior in the Internet space using multi-agent neurocognitive architectures have been developed. Basic scenarios and algorithms for the use of an intelligent agent control system based on a multi-agent neurocognitive architecture for extracting data necessary for the creation and development of personalized simulation models have been constructed. The results of this study can be used to create simulation models of the behavior of network systems users in the tasks of supporting systems of "enveloping intelligence", intelligent content analysis, predictive analytics based on distributed multi-agent modeling.