Determination of the optimal weighting function in adaptive-game strategies for elimination of uncertainty in signals acting on the system

A solution method is proposed for optimizing the weighting function of a dynamic system in terms of complex statistical criteria with a finite number of uncertainties in the signals entering the system and the legitimate assumption that these are antagonistic. Estimates are considered for advizability of adaptive-game strategies of eliminating the unitial uncertainty due to shortage of a prioridata and conflict of signals entering the system.