Cluster Analysis of a Collective of Algorithms of Multicore Neural Network Automata and Robots on Chip

In view of improved performance of new spheres and directions of social development, Russian government pays attention to robotization based on modern Russian hardware elements for the purpose of import substitution. In this regard, association of the notions of collective of algorithms, collective of automata, collective of robots, and artificial intelligence is one of the topical problems. Of special importance are the capabilities of cybernetic investigation of multicore neural network automata for the purpose of constructing more complex automata, robots, and the behavior of a collective of robots on their basis. The current paper is aimed at demonstrating the capabilities of the set-theoretic cybernetic approach to artificial and complex natural objects and systems on their basis and creating a conceptual model of selection and joint simultaneous design of hardware and software tools of neural network automata on the basis of unified study of parallelization processes in a collective of automata in the form of explicit and implicit clusterization. The options of structures of collective of algorithms for providing cybersecurity and protection against threats in the form of hierarchy of security provision practices are analyzed, shown, and proposed. The paper proposes a method for analyzing and selecting the best architecture of a multicore neural network collective of automata and a collective of robots based on automata implemented on chip. An expert system based on VLSI 1879VM8Ya (NM6408) with a developed user interface is implemented.