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Unconventional Cognitive Intelligent Robotic Control: Quantum Soft Computing Approach in Human Being Emotion Estimation -- QCOptKB Toolkit Application

arXiv 2307.06858 ↗First posted 14 Jun 2023quant-ph cs.AI cs.ROcited by 0

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Abstract (arXiv)

Strategy of intelligent cognitive control systems based on quantum and soft computing presented. Quantum self-organization knowledge base synergetic effect extracted from intelligent fuzzy controllers imperfect knowledge bases described. That technology improved of robustness of intelligent cognitive control systems in hazard control situations described with the cognitive neuro-interface and different types of robot cooperation. Examples demonstrated the introduction of quantum fuzzy inference gate design as prepared programmable algorithmic solution for board embedded control systems. The possibility of neuro-interface application based on cognitive helmet with quantum fuzzy controller for driving of the vehicle is shown.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 47 references that are in the map. First posted on arXiv 14 Jun 2023.

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4 of 47 references.

References · 4

  1. 2019Emotion Recognition with Machine Learning Using EEG Signalscited by 10
  2. 2018Deep Emotion: A Computational Model of Emotion Using Deep Neural Networkscited by 4
  3. 2020A Survey of Robotics and Emotion: Classifications and Models of Emotional Interactioncited by 3
  4. 2014Maximum work extraction and implementation costs for non-equilibrium Maxwell's demonscited by 1

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