Intelligent self-organized cognitive controllers. Pt 1: Kansei / Affective engineering and quantum / soft computing technologies

Автор: Barchatova Irina, Ulyanov Sergey, Yamafuji Kazuo

Журнал: Сетевое научное издание «Системный анализ в науке и образовании» @journal-sanse

Статья в выпуске: 4, 2014 года.

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Kansei / Affective Engineering technology and its cognitive computing toolkit include qualitative description of human being emotion, instinct and intuition that used effectively in design processes of smart / wise robotics and intelligent mechatronics. System of systems engineering technology describes the possibility of ill-defined (autonomous or hierarchically connected) dynamic control system’s design that includes human decision making in unpredicted (unforeseen) control situations. System analysis of interrelations between these two important technologies discussed. The way how these technologies can be married using new types of unconventional computational intelligence is described. The background of applied unconventional computational intelligence is soft and quantum computing technologies. The solution of an important problem as robust intelligent control system design based on quantum knowledge base self-organization in unpredicted control situations and information risk is proposed. Applications of the developed approach in robust integrated fuzzy intelligent control systems of cognitive robotics considered using concrete Benchmarks.

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Kansei / affective инженерия

Короткий адрес: https://sciup.org/14123250

IDR: 14123250

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