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This thesis comprises the results of designing a distributed decision-making system in multi-criteria areas. The distributed decision-making system is the architecture of homogenous data-processing devices that form a Wireless network with Mesh topology. The decision-making process is based on finding an optimal solution that is implemented through the use of genetic algorithms. Aiming to identify the initial population of the genetic algorithm, there shall be calculated the partial derivative for each variable for the ordered process. The results of partial derivative serve as an identifier of values from the Chromosome structure. There have been developed in this thesis: general algorithm of system functioning; population structure formed of Chromosomes and Genes; methodology of calculation of component values of the initial population; and an example of implementation of the distributed decision-making system based on Node MCU ESP32 devices.

The paper presents the results of the conceptual and structural design of a Multi-Agent system for decision making based on temporal logic. The decision making system has a Multi-Agent structure that forms a mesh network with broadcast communication, which ensures the organization o knowledge exchange between them. Functional elements and temporal logical operators are defined in the form of mathematical models, which allows their implementation based on hardware devices or software products. The functionality of the temporal logic is determined by the time function that calculates the credibility coefficient of the event and its influence on the decisions taken by the Agents