DocumentCode :
145815
Title :
Computing skills in aviation ergatic systems
Author :
Kurdel, P. ; Lazar, T. ; Labun, Jan
Author_Institution :
Dept. of Avionics, Tech. Univ. of Kosice, Kosice, Slovakia
fYear :
2014
fDate :
23-25 Jan. 2014
Firstpage :
375
Lastpage :
379
Abstract :
Recent aviation technologies are characterized by high flight security guaranteed by wide information basis, which decreases error tolerance range on a large scale. It is tolerant towards flight parameters entropy, it is obtained by using cybernetic systems, which shape human - operator - control abilities in more and more urgent way. The existence of mutuality of intolerance needs requires narrow information connection between the machine (aircraft) and the person (its operator). In the presented paper the intolerance is perceived as an ergatic effect, the principle of which is based on machine artificial intelligence and human natural intelligence. Learning is the common name of presented intellects, i.e. perception of error existence, their recognition and compensation. Locomotion organs (most frequently arms and legs) present the disposition of the human - operator for entering control process, the dynamics and amplitude relevance are the result of the transformation of information flows worked out by his intellect. Degree and quality of informative evaluation of the situation (in time) of mutuality of the position (aircraft) and required position of the control is decided by the operator. In the paper, the adequacy of visible movement is called a skill. The development of the operator pilot skills is based on many factors. His improvement is a subject of physical laws, mathematical model of which is presented in the paper and explained by an example.
Keywords :
aerospace computing; aerospace safety; arsenic compounds; artificial intelligence; cognition; human factors; aircraft; aviation ergatic systems; aviation technologies; cybernetic systems; flight parameters entropy; flight security; human natural intelligence; information connection; locomotion organs; machine artificial intelligence; operator pilot skills; skill computing; Aerospace control; Aircraft; Concrete; Control systems; Informatics; Mathematical model; Vectors; asymptotic learning; cognitive ties; human — machine; laws of ties; medium skill; optimum skill; skill — activity of operator — pilot; successful solutions area;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Machine Intelligence and Informatics (SAMI), 2014 IEEE 12th International Symposium on
Conference_Location :
Herl´any
Print_ISBN :
978-1-4799-3441-6
Type :
conf
DOI :
10.1109/SAMI.2014.6822443
Filename :
6822443
Link To Document :
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