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
 

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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


Analyzing Data Flows of State Machines

Julio Cano, Ralf Seepold, Natividad Martinez Madrid


One of the key points in Model-Driven Development is to provide a semantic anchoring that permits to design an application based on some common semantics but at the same time independently of the specific characteristics of the final platform. This paper proposes a common meta-model capable of holding both state machine and data flow semantics, two of the most used behaviour models. This is done so that application behaviour can be described independently of the specific platform. The application behaviour can be based on the semantics of this meta- model while at the same time code can be generated for several specific platforms without changing the application design.

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