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  5. Modeling the object search within partial indeterminancy conditions with using general model of removing partial indeterminancies of probabilistic type as maximal disbalance minimization

Modeling the object search within partial indeterminancy conditions with using general model of removing partial indeterminancies of probabilistic type as maximal disbalance minimization

V.V. Romanuke
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There has been found the optimal strategy of the second player in the convex antagonistic game with the kernel as a function of 2N – 2 variables on the parallelepiped in 2N–2 , that is a model of removing N partial indeterminancies of the probabilistic type as maximal disbalance minimization. In the form of multistage diagonal NN-game there has been represented a model of optimally distributing the search resources for organizing the search process with the dispatcher with regard to a physical nature object.
Keywords: partial indeterminancy, antagonistic game, game convexity, maximal disbalance minimization, optimal strategy, search model, search process, diagonal game, decision making