agent

The authors consider the features of multi-agent modeling for traffic optimization in the central areas of cities. While evaluating the unique challenges associated with the high concentration of vehicles, pedestrians and historical buildings, the potential of multi-agent systems to effectively solve the problem of congestion, safety and quality of life in urban areas is investigated. The potential of multi-agent modeling in the context of traffic management in the central areas of the city allows us to identify the key challenges and opportunities.

The key terms and basic concepts of the agent are analyzed. The structured general classification of agents according to the representation of the model of the external environment, by the type of processing information and by the functions performed is given. The classification of artificial agents (intellectual, reflex, impulsive, trophic) also is s analyzed. The necessary conditions for the implementation of a certain behavior by the agent are given, as well as the scheme of functioning of the intelligent agent.

A bee colony optimization algorithm and its modifications as a way to solve the complex combinatorial optimization problems are described. Biological basis, advantages, disadvantages and usage of this method are studied.

An information model of the city educational environment have been described, the processes of educational qualification growth of the individual from the birth up to full profession readiness and further increment of the knowledge potential have been analyzed. There have been suggested processes of the knowledge potential propagation within socio-communicative environment in the form of the diffusion-like model.