Game Method of Event Synchronization in Multi-agent Systems

Abstract

The adaptive game method of event synchronization in multiagent systems in the conditions of uncertainty is developed. The essence of a method consists in alignment of delays of event approach based on action supervision of the next players. The formulation of stochastic game is executed and the game algorithm for its solving is developed. The parameter influences on convergence of a game method are investigated by means of a computer experiment that allows to study the dependence of the training time on the stochastic game of agents from the basic parameters of the algorithm and permits to assert that partial compensation of uncertainty is ensured by the agent ability to self-learning and adaptive decision-making strategies. The obtained work results are used in the construction of multi-agent systems of various purposes, ensuring the work coordination of the components, message transmission between agents, construction of communication protocols, promoting self-organization of multi-agent systems.