Chumachenko D. Intelligent multiagent technologies in epidemic processes of population dynamics systems

The aim of the research is to create and research an intelligent decision support system for obtaining a long-term forecast in the systems of population dynamics using multiagent modeling. A multiagent model of population dynamics was developed, based on intelligent rational agents operating under conditions of logical uncertainty. A class of epidemic processes is formalized, based on factors and characteristics that affect the dynamics of the population. The method of identification of objects of an intelligent multiagent system based on partial observability of the state space for an arbitrary number of agents has been improved. The method of intellectual analysis of population dynamics based on fuzzy recurrence models that allows to estimate the possibility of the chaotic dynamics of the modeled system was further developed.