Journal of
Systemics, Cybernetics and Informatics

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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Published by
The International Institute of Informatics and Cybernetics

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(A Community of about 40.000.000 Academics)

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

Nagib C. Callaos

Sponsored by
The International Institute of
Informatics and Systemics

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Call for Special Articles

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Scientific Milieu, Multi-disciplinary Science and Creativeness
Maurício Vieira Kritz
(pages: 1-16)

Project-Based Development as a Model for Transdisciplinary Research and Education
Shahabedin Sagheb, Katie Walkup, Robert Smith
(pages: 17-32)

Text Classification of News Using Transformer-based Models for Portuguese
Isabel N. Santana, Raphael S. Oliveira, Erick G. S. Nascimento
(pages: 33-59)

Qualitative Data Analysis and Systematic Research Method Based on Japanese Cultural Context
Tomomi Kubota, Zeyu Lang, Masahiro Arimoto
(pages: 60-82)

Overcoming Gender Differences in Education
Elona Limaj, Esmeralda Strori
(pages: 83-93)

Acceptance of Technology and Academic Writing: Analyze in Perspective of Theoretical Models
Bilquis Ferdousi
(pages: 94-117)

An Investigation of the Effectiveness of Facebook and Twitter Algorithm and Policies on Misinformation and User Decision Making
Jordan Harner, Lydia Ray, Florence Wakoko-Studstill
(pages: 118-137)

Metabolite Fragmentation Visualization
Myungjae Kwak, Matthew Molina, Spencer Arnold, Andrew Woodward, Jin-Young An, Estelle Nuckels, Yingfeng Wang
(pages: 138-147)

Undergraduate Research on Physics-Informed Graph Attention Networks for COVID-19 Prediction
Yu Liang, Dalei Wu
(pages: 148-159)

Review Revision Techniques Tools for Undergraduate Business Students within the Framework of Ethos, Pathos, and Logos
Safaa A. M. Shaaban, Rehab G. Rabie
(pages: 160-175)





Dynamic Interactions in Artificial Environments: Causal and Non-Causal Aspects for the Emergence of Meaning

Argyris Arnellos, Thomas Spyrou, John Darzentas

Initially, the analysis and development of adaptive artificial systems has been based in metaphors taken from philosophical schools as well as the disciplines of biology and cognitive science. So far, the dominant approaches exhibit many advantages in specific domains of application but there all have a certain drawback, which is their inability to produce an artificial system which will be able to internally ground its representations so as to use them to produce newer, more developed ones. The respective frameworks are studied in terms of this inability and it is concluded that the problem is traced in the purely causal treatment, function and creation of the notion of representation, wherever it is used. In the case of purely dynamic systems, where the representations seem not to be very useful, it is proposed that the incorporation of a special non-causal kind of representations would give a framework which seems promising in realizing real adaptation. The relevant architecture is analyzed and discussed mainly in terms of its functionality and its contribution to the integration of pragmatic meaning aspects in an artificial system’s interaction.

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