APPLICATION OF THE MULTI-AGENT MODELING METHOD FOR THE ANALYSIS AND FORECASTING OF THE DEVELOPMENT OF TERRITORIES
This paper analyzes the features and aspects of the application of the multi-agent modeling method for predicting the development of territories. The platforms designed for the implementation of simulation models are considered. Analyzed software products intended for the development of agent-based systems, they include: Chromar, GOAL, Jason, JaCaMo, Gwendolen, JADE, JADEL, Jadex, LightJason, PLACE, PLASA, RMAS and SARL. The article also notes the situations when the agent-based approach has advantages over other modeling methods. The concepts of "agent" and "environment" in the field of multi-agent modeling are discussed, their relationship is described. The article discusses the requirements for the agents of the system and the types of interaction of agents with each other. An analytical review of domestic and foreign experience in using the multi-agent modeling method for analyzing and predicting the development of territories is carried out. The works are analyzed that consider the methodological foundations of modeling and optimization of transport processes in the interaction of railways and sea transport, modeling the logistics systems of the region and simulation of the dynamics of urban systems using a multi-agent system. The article examines the works in which the features of using the agent-based approach for modeling socio-ecological and economic systems in the aspect of testing sustainable development strategies are presented. The works are highlighted, which show the results of the application of the multi-agent modeling method for making managerial decisions, economic forecasting. Based on the analytical review, the following areas of application of the agent approach for predicting the development of territories were identified: geographical modeling of the location of public libraries, modeling the structure of an urban land plot based on FPGA, modeling safe life and sustainable urban development, modeling urban growth, modeling the growth of living space in Shenzhen, China; land changes in Latin American urban peripheries. The systematic methodology and modeling tools for territorial management are considered. An agent-based learning model (ABM-Learning) for urban land use planning and a model of self-organized industrial symbiosis are analyzed. The advantages and disadvantages of using the multi-agent modeling method in predicting the development of territories are highlighted.