Application of Fuzzy State Machines to Control Players in Virtual Soccer Simulation

Virtual soccer simulation is a platform for development of algorithms of multiagent systems. The article describes an approach for development of architecture of agents based on fuzzy states machines, also offers an original mathematical model. The model includes elements of training to increase agility of behavior of the agent. Authors developed general algorithm of fuzzy state machines used in agent to control multiagent systems with it. In addition, they proposed software structure for agile interaction between state machines and soccer simulation server and for storing results of training assets.