SYSTEMICS
'Systemics' can be considered a new name for all research related to General Systems Theory and Systems science. It is defined as an emerging branch of science that studies holistic systems and tries to develop logical, mathematical, engineering and philosophical paradigms and frameworks in which physical, technological, biological, social, cognitive and metaphysical systems can be studied and developed.
Systemics tends to generalize results obtained in cybernetics, classical engineering systems theory and other sciences to derive principles common to many fields, based on scientific paradigms. This inclusion of general principles characterizes the philosophy of systems.
Charles François, editor of The International Encyclopedia of Cybernetics and Systems, suggested that "Systemics" be used to avoid the familiar and ambiguious terms "systems thinking," "systems science," and "general systems theory."
Mario Bunge also proposed the term systemics, referring to "the set of theories that focus on the structural characteristics of systems", to replace "general systems theory" in his book on Ontology of systems [1]
Systemics also generates many metaphysical questions, therefore, is closely related to contemporary philosophy, intelligence research and complex systems.
For a historical perspective and more detailed discussion related to classical system properties, see Systems theory.
★ meta-system
★ meta-theory
★ system engineering
★ scientific paradigm
★ socio-cognitive
★ relativism
★ reliability
★ dynamic system
★ autopoiesis
★ meta-knowledge
1. Mario Bunge 1977, p.1.
★ Bunge, M. A. (1979). A world of systems. Dordrecht ; Boston, Reidel.
★ A Taste of Systemics By Bela H. Banathy
★ Systemics: The Most Basic Science by Donald E. Watson,
★ The Theory of Enformed Systems - A Paradigm of Organization and Holistic Systems by Watson, D. E., G. E. Schwartz, L. G. S. Russek (1998).
★ Systemics and Cybernetics in a Historical Perspective by Charles François (1999)
★ International Conference on Cybernetics, Informatics, and Systemics, ICCIS 2007
★ Journal of Systemics, Cybernetics and Informatics
★ Computational Philosophy of Science - The MIT Press
| Contents |
| Introduction |
| See also |
| References |
| Further reading |
| External links |
Introduction
Systemics tends to generalize results obtained in cybernetics, classical engineering systems theory and other sciences to derive principles common to many fields, based on scientific paradigms. This inclusion of general principles characterizes the philosophy of systems.
Charles François, editor of The International Encyclopedia of Cybernetics and Systems, suggested that "Systemics" be used to avoid the familiar and ambiguious terms "systems thinking," "systems science," and "general systems theory."
Mario Bunge also proposed the term systemics, referring to "the set of theories that focus on the structural characteristics of systems", to replace "general systems theory" in his book on Ontology of systems [1]
Systemics also generates many metaphysical questions, therefore, is closely related to contemporary philosophy, intelligence research and complex systems.
For a historical perspective and more detailed discussion related to classical system properties, see Systems theory.
See also
★ meta-system
★ meta-theory
★ system engineering
★ scientific paradigm
★ socio-cognitive
★ relativism
★ reliability
★ dynamic system
★ autopoiesis
★ meta-knowledge
References
1. Mario Bunge 1977, p.1.
Further reading
★ Bunge, M. A. (1979). A world of systems. Dordrecht ; Boston, Reidel.
External links
★ A Taste of Systemics By Bela H. Banathy
★ Systemics: The Most Basic Science by Donald E. Watson,
★ The Theory of Enformed Systems - A Paradigm of Organization and Holistic Systems by Watson, D. E., G. E. Schwartz, L. G. S. Russek (1998).
★ Systemics and Cybernetics in a Historical Perspective by Charles François (1999)
★ International Conference on Cybernetics, Informatics, and Systemics, ICCIS 2007
★ Journal of Systemics, Cybernetics and Informatics
★ Computational Philosophy of Science - The MIT Press
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