Decision-Making Models of the Human-Operator as an Element of the Socio-Technical Systems

Nina Rizun; Shmelova Tatyana

doi:10.4018/978-1-5225-1656-9

Decision-Making Models of the Human-Operator as an Element of the Socio-Technical Systems

Abstract

The authors of the chapter proved that the fundamental intellectual processes, which lie on the basis of decision-making behavior of the human-operator, could be identified on the bases on the analogies with the devices (elements). The basic intellectual processes of the Rational decision-making models can be adequately identified by the transient processes of the PID-controller; the intellectual processes of the Bounded Rationality and Intuitive decision-making models can be identified by the transient processes of the nonlinear elements. Taxonomy of the most typical automatic control theory elements and their compliance with certain decision-making models with a point of view of decision-making processes specificity and on human-operator behavior in the context of the socio-technical concept was obtained Authors of the chapter also accept the suggestion that the instruments of collective multi-criteria decision-making and social-network analysis theory have similar mathematical and methodological bases

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Authors (2)

Nina Rizun dr
Shmelova Tatyana profesor
- National Aviation University, Ukraine .

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Category:: Monographic publication
Type:: rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
Title of issue:: Strategic Imperatives and Core Competencies in the Era of Robotics and Artificial Intelligence strony 167 - 204
Language:: English
Publication year:: 2016
Bibliographic description:: Rizun N., Tatyana S.: Decision-Making Models of the Human-Operator as an Element of the Socio-Technical Systems// Strategic Imperatives and Core Competencies in the Era of Robotics and Artificial Intelligence/ ed. Roman Batko (Jagiellonian University, Poland) and Anna Szopa (Jagiellonian University, Poland) : IGI Global, 2016, s.167-204
DOI:: Digital Object Identifier (open in new tab) 10.4018/978-1-5225-1656-9
Verified by:: Gdańsk University of Technology