Artificial intelligence

Abstract: The system principles of metrological assurance of intellectual systems designing, i.e. the systems with elements of an artificial intelligence are considered. The structurally-stochastic principle of approximation ensures overcoming of essential a priori indeterminacy and assures high metrology parameters on a velocity of adaptation, reliability of results.

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