adaptive learning methods

The neuroagent game model of collective decision-making in the conditions of uncertainty is developed. The formulation of stochastic game is executed. Adaptive learning methods of artificial neural networks without the teacher are used for the game solving. The convergence of neuroagent stochastic game is confirmed by results of computer experiment. Influences of parameters of game model on the neuroagent learning rate are investigated.