Data collection and intelligent processing system for a distributed network of poly-landscape polygons based on a multiagent neurocognitive architecture

The article presents the results of developing a system for collecting and intelligently processing data for a distributed network of poly-landscape polygons. A diagram of the interaction of the system elements is given. The features of the software and hardware implementation of the system for collecting and analysing data from sensors are described, taking into account the lack of stable access to the Internet on the territory of the polygons. The principles of implementing an AI system for analysing data from sensors, designed to use various approaches to creating artificial intelligence systems, are presented. In particular, an algorithm for interacting with a program for modelling the decision-making process based on multi-agent neurocognitive architectures is given.