Динамічна координація стратегій мультиагентних систем
The problem of dynamic coordination of strategies of multiagent systems in the conditions of uncertainty on the basis of stochastic game model is solved. Dynamic coordination consists in system learning to generate the spatially-distributed periodic signals. The model of stochastic game is constructed, criteria of dynamic coordination of strategies are defined, a recurrent method, algorithmic and software support for the stochastic game solving are developed.