9th International Conference "Distributed Computing and Grid Technologies in Science and Education"

IMPERFECT KNOWLEDGE BASE SELF-ORGANIZATION IN ROBOTIC INTELLIGENT COGNITIVE CONTROL: QUANTUM SUPREMACY ON BIG DATA ANALYSIS

Sergey Victorovich Ulyanov, A.V. Shevchenko, Andrey A. Shevchenko, Andrey G. Reshetnikov

Published Dec 13, 2021• 0 citations

Abstract

The smart control design with secured achievement of information-thermodynamic trade-off interrelations is main goal for quantum self-organization algorithm of imperfect KB.Quantum genetic algorithm applied on line for the quantum correlation's type searching between unknown solutions in quantum superposition of imperfect knowledge bases of intelligent controllers designed on soft computing.Disturbance conditions of analytical information-thermodynamic trade-off interrelations between main control quality measures (as new design laws) discussed.Sophisticated synergetic quantum information effect in autonomous robot in unpredicted control situations) and swarm robots with imperfect KB exchanging between "master -slaves" introduced.A new robust smart controller on line designed from responses on unpredicted control situations of any imperfect KB applying quantum hidden information extracted from quantum correlation discussed.Within the toolkit of classical intelligent control, the achievement of the similar synergetic information effect is impossible.

DOI: 10.54546/mlit.2021.19.68.001

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