Cosma provides access to content resources organized around these basic elements of a Communication System: Media (channel), Knowledge (message), Human (sender/receiver) and Noise (interference). See also Outline (Site Map)
See also Process
These are organized by a classification scheme developed exclusively for Cosma. More…
System is something that can be studied as a whole. Systems may consist of subsystems that are interesting in their own right. Or they may exist in an environment that consists of other similar systems. Systems are generally understood to have an internal state, inputs from an environment, and methods for manipulating the environment or themselves. Since cause and effect can flow in both directions of a system and environment, interesting systems often possess feedback, which is self-referential in the strongest case. — David Darling’s Internet Encyclopedia of Science
Systematics is the study of systems and their application to the problem of understanding ourselves and the world, developed by John G. Bennett in the mid-twentieth century. — Wikipedia
Systems theory is the interdisciplinary study of systems. A system is a cohesive conglomeration of interrelated and interdependent parts that is either natural or man-made. Every system is delineated by its spatial and temporal boundaries, surrounded and influenced by its environment, described by its structure and purpose or nature and expressed in its functioning. In terms of its effects, a system can be more than the sum of its parts if it expresses synergy or emergent behavior. Changing one part of the system usually affects other parts and the whole system, with predictable patterns of behavior. For systems that are self-learning and self-adapting, the positive growth and adaptation depend upon how well the system is adjusted with its environment. Some systems function mainly to support other systems by aiding in the maintenance of the other system to prevent failure. The goal of systems theory is systematically discovering a system’s dynamics, constraints, conditions and elucidating principles (purpose, measure, methods, tools, etc.) that can be discerned and applied to systems at every level of nesting, and in every field for achieving optimized equifinality. General systems theory is about broadly applicable concepts and principles, as opposed to concepts and principles applicable to one domain of knowledge. — Wikipedia
Systems science is an interdisciplinary field that studies the nature of systems—from simple to complex—in nature, society, cognition, and science itself. To systems scientists, the world can be understood as a system of systems. The field aims to develop interdisciplinary foundations that are applicable in a variety of areas, such as psychology, biology, medicine, communication, business management, engineering, and social sciences.
Systems science covers formal sciences such as complex systems, cybernetics, dynamical systems theory, information theory, linguistics or systems theory. It has applications in the field of the natural and social sciences and engineering, such as control theory, operations research, social systems theory, systems biology, system dynamics, human factors, systems ecology, systems engineering and systems psychology. Themes commonly stressed in system science are (a) holistic view, (b) interaction between a system and its embedding environment, and (c) complex (often subtle) trajectories of dynamic behavior that sometimes are stable (and thus reinforcing), while at various ‘boundary conditions’ can become wildly unstable (and thus destructive). Concerns about Earth-scale biosphere/geosphere dynamics is an example of the nature of problems to which systems science seeks to contribute meaningful insights. — Wikipedia
Wiley: Systems Research and Behavioral Science: Table of Contents Table of Contents for Systems Research and Behavioral Science. List of articles from both the latest and EarlyView issues.
Ludwig von Bertalanffy and his enduring...
by Kristof Van Assche, Vladislav Valentinov, Gert Verschraegen on May 22, 2019 at 10:53 am
Systems Research and Behavioral Science, Volume 36, Issue 3, Page 251-254, May/June 2019. […]
on May 22, 2019 at 10:53 am
Systems Research and Behavioral Science, Volume 36, Issue 3, Page 249-250, May/June 2019. […]
A note on Ludwig von Bertalanffy and the form...
by Dirk Baecker on May 22, 2019 at 10:53 am
Systems Research and Behavioral Science, Volume 36, Issue 3, Page 322-331, May/June 2019. […]
The legacy of Ludwig von Bertalanffy and its...
by Debora Hammond on May 22, 2019 at 10:53 am
Systems Research and Behavioral Science, Volume 36, Issue 3, Page 301-307, May/June 2019. […]
The unity of (social systems) science: The legacy...
by Hugo Cadenas on May 22, 2019 at 10:53 am
Systems Research and Behavioral Science, Volume 36, Issue 3, Page 274-280, May/June 2019. […]