Title: Modelling and parameter estimation for operator intelligence in man-machine systems

Authors: Riad Taha Al-Kasasbeh; Mahdi Salman Alshamasin; Florin Ionescu; Nikolay Korenevskiy

Addresses: Faculty of Engineering Technology, Albalqa' Applied University, P.O. Box 541324, Amman 11937, Jordan. ' Department of Mechatronics, Faculty of Engineering Technology, Albalqa' Applied University, P.O. Box 15008, Amman 11134, Jordan. ' Mechatronics Institiute, Hochschule Konstanz, HTWG, Brauneggerstrasse 55, D-78462 Konstanz, Germany. ' Kursk Technical University, 305040, st. 50 let Oktyabrya, 94, Kursk, Russia

Abstract: Methods for the selection of candidates for work as an operator of man-machine systems (MMS) are analysed. Vector estimates of candidates| intelligence, containing static and dynamic components defining candidates| problem-solving abilities under uncertainty conditions and for self-learning are proposed. The properties of the proposed estimates are examined with an example of five tested candidates.

Keywords: artificial intelligence; human-machine systems; vector estimates; modelling; parameter estimation; operator intelligence; problem solving abilities; uncertainty; self-learning.

DOI: 10.1504/IJMIC.2012.043942

International Journal of Modelling, Identification and Control, 2012 Vol.15 No.1, pp.69 - 85

Published online: 29 Nov 2014 *

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