In this research the actual problem of self-organizing of strategies of stochastic game of multiagent systems is considered. Self-organizing display are formations of the co-ordinated behavioural patterns of group of the mobile agents endowed with the ability to move within a limited discrete space.
Markovian recurrent method
The model of matrix stochastic game for decision-making in the conditions of uncertainty is developed. The method of Q-learning for stochastic game solving with a priori unknown gains matrices is offered. The formulation of a game problem is executed. The Markovian recurrent method and algorithm for the game solving are described. Results of computer modelling of stochastic game with Q-learning are received and analysed.