Journal of
Systemics, Cybernetics and Informatics
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ISSN: 1690-4524 (Online)


Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.

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Honorary Editorial Advisory Board's Chair
William Lesso (1931-2015)

Editor-in-Chief
Nagib C. Callaos


Sponsored by
The International Institute of
Informatics and Systemics

www.iiis.org
 

Editorial Advisory Board

Quality Assurance

Editors

Journal's Reviewers
Call for Special Articles
 

Description and Aims

Submission of Articles

Areas and Subareas

Information to Contributors

Editorial Peer Review Methodology

Integrating Reviewing Processes


Philosophy and Cybernetics: Questions and Issues
Thomas Marlowe, Fr. Joseph R. Laracy
(pages: 1-23)

Reconceiving Cybernetics in Light of Thomistic Realism
John T. Laracy, Fr. Joseph R. Laracy
(pages: 24-39)

Nascent Cybernetics, Humanism, and Some Scientistic Challenges
Zachary M. Mabee
(pages: 40-52)

Kant, Cybernetics, and Cybersecurity: Integration and Secure Computation
Jon K. Burmeister, Ziyuan Meng
(pages: 53-78)

Interplay Between Cybernetics and Philosophy as an Essential Condition for Learning
Maria Jakubik
(pages: 79-97)

Towards a General Theory of Change: A Cybernetic and Philosophical Understanding
Gianfranco Minati
(pages: 98-109)

Artificial Intelligence and Human Intellect
Víctor Velarde-Mayol
(pages: 110-127)

The Philosophy of Cybernetics
Jeremy Horne
(pages: 128-159)

Cybernetics and Philosophy in a Translation of Oedipus the King and Its Performance
Ekaterini Nikolarea
(pages: 160-190)

Linguistic Philosophy of Cyberspace
Rusudan Makhachashvili, Ivan Semenist
(pages: 191-207)

Systems Philosophy and Cybernetics
Nagib Callaos
(pages: 208-284)


 

Abstracts

 


ABSTRACT


Impact of Qualitative Components on Economic Growth of Nations

Romuald I. Zalewski, Eulalia Skawinska


According to theory, innovative activity gives a chance to increase a competitiveness and economic growth of nation. The purpose of this paper is validation of that assumption using the latest data available for EU countries. Data set of indicators include: global innovation index, (GII), European Summary Innovative Index (SII), Ranking of Competitiveness of Nations (in a form of summary as well as subsidiary data ) and set of macro economy data (GDP, labor productivity, export, export of high-tech, R&D expenditure as [as % of GDP] etc as measures of economic growth. Various regression models: liner, curvilinear, planar or spatial with one or two dependent variables will be calculated and explained. In addition the appropriate 2 D and 3 D-graphs will be used and presented to strengthen verbal arguments and explanation. The main result of this paper is relationship between innovative activity, competitive ability and growth measured as GDP per capita. Such relationship is shown as fairy good linear span of countries. Only two of them: Luxemburg and Norway due to higher than average growth value are outliers. The valuable outcome of this paper is classification of nation into groups: highly innovative- highly competitive, highly competitive-non innovative, highly innovative- non competitive and non innovative – non competitive. The last group of nations fall into trap of low competitiveness.

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