Systems in stochastic equilibrium
Systems in stochastic equilibrium
On Some Actual Problems of Estimating Risk in Complex Systems under Insufficient Information
Cybernetics and Systems Analysis
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Discrete-time Markovian processes with a multidimensional compact state space are considered, where coordinate processes are locally interacting and change their states synchronously. Conditions are given which guarantee that in the class of local randomized strategies there exist deterministic stationary Markovian strategies which maximize asymptotic average expected rewards. If a reward structure is separable, these strategies are even globally optimal.