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This paper explores the problem of formalizing the development of autonomous artificial intelligence systems (AAIS), whose mathematical models may be complex or non-identifiable. Using the value-iterations method for Q-functions of rewards, a methodology for constructing of ε-optimal strategies with a given accuracy has been developed. The results allow us to outline classes (including dual-use), for which it is possible to rigorously justify the construction of optimal and ε-optimal strategies even in cases where the models are identifiable but the computational complexity of standard dynamic programming algorithms may not be strictly polynomial. [ABSTRACT FROM AUTHOR]

A method of estimating the effective data rate in channels of the Standard 802.11 was proposed. It provides for the measurement of the main energy parameter using the software and hardware of the subscriber device. This method is based on the empirical models of statistical relationships between the main parameters of the channel which are obtained on the basis of experimental studies using monitoring algorithms. The solutions obtained during the implementation of this method make it possible to take into account the maximum possible number of destabilizing factors and significantly reduce the time of assessment of the effective data rate. It should be noted that this method can be used for technical diagnostics of wireless networks of Standards 802.11x at the stages of network design and operation. It was established that when using the coefficient of energy efficiency, a significant error in the displacement of the points of intersection of the linear and logarithmic mathematical model occurs. This can lead to a discrepancy between the mathematical estimates of the effective data rate and real values. The statistical relationship gives a smaller error; however, it increases requirements for empirical studies to obtain the maximum possible reliability. One of the features of the proposed method is the reliability of assessment of the effective data rate. This reliability depends on three main factors: accuracy of assessing the results based on which the mathematical model was obtained; estimation of fluctuation intervals and characteristics of the Standard 802.11 equipment of different manufacturers. The last factor can be considered as a disadvantage that involves the creation of a database of parameters of the model of statistical relationship for different devices with correction coefficients. [ABSTRACT FROM AUTHOR]

Purpose. Development of methodology and experimental studies of the layout of the active screening of technogenic power frequency magnetic fields with different control algorithms with a single coil magnetic executive body. Methodology. In the course of mathematical modeling to determine geometrical size of the magnetic coil executive body based on the size of the protected area, and the configuration of the coil magnetic executive body is determined based on the required uniformity of the magnetic field distribution in the protected area. Results. Experimental studies of open, closed and combined systems of active screening of technogenic power frequency magnetic fields with a single coil magnetic executive body. Originality. For the first time experimentally confirmed the possibility of reducing the level of induction of man-made power frequency magnetic fields in a given area 3-5 times with a single coil magnetic executive body.. The possibility of reducing the level of the magnetic field in a limited area of the space by 15-20 times Practical value. On the basis of the calculations the layout of active screening of technogenic power frequency magnetic fields with different control algorithms with a single coil magnetic executive body has been made. [ABSTRACT FROM AUTHOR]