Portal:Systems science
The systems science portal
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| Complex systems approach |
Systems science is a transdisciplinary[1] field that studies the nature of systems—from simple to complex—in nature, society, cognition, engineering, technology 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.
Selected article -
Systems ecology is an interdisciplinary field of ecology, a subset of Earth system science, that takes a holistic approach to the study of ecological systems, especially ecosystems. Systems ecology can be seen as an application of general systems theory to ecology. Central to the systems ecology approach is the idea that an ecosystem is a complex system exhibiting emergent properties. Systems ecology focuses on interactions and transactions within and between biological and ecological systems, and is especially concerned with the way the functioning of ecosystems can be influenced by human interventions. It uses and extends concepts from thermodynamics and develops other macroscopic descriptions of complex systems. (Full article...)
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The Lorenz attractor is a 3-dimensional structure corresponding to the long-term behavior of a chaotic flow, noted for its butterfly shape. The map shows how the state of a dynamical system (the three variables of a three-dimensional system) evolves over time in a complex, non-repeating pattern.
The attractor itself, and the equations from which it is derived, were introduced by Edward Lorenz in 1963, who derived it from the simplified equations of convection rolls arising in the equations of the atmosphere.
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Selected biography -
David Easton FRSC (June 24, 1917 – July 19, 2014) was a Canadian-born American political scientist. From 1947 to 1997, he served as a professor of political science at the University of Chicago.
At the forefront of both the behavioralist and post-behavioralist revolutions in the discipline of political science during the 1950s and 1970s, Easton provided the discipline's most widely used definition of politics as the authoritative allocation of values for the society. He was renowned for his application of systems theory to the study of political science. Policy analysts have utilized his five-fold scheme for studying the policy-making process: input, conversion, output, feedback and environment. Gunnell argues that since the 1950s the concept of "system" was the most important theoretical concept used by American political scientists. The idea appeared in sociology and other social sciences but it was Easton who specified how it could be best applied to behavioral research on politics. He was president of the American Political Science Association. (Full article...)
Did you know
- ... that the anthropologist, linguist, and cyberneticist Gregory Bateson's most noted writings are Steps to an Ecology of Mind (1972) and Mind and Nature (1980).
- ... that the Austrian American Heinz von Foerster in 1960 in Science magazine stated, that the human population would reach "infinity" and he proposed a formula for predicting future population growth.
- ... that a successful experimental system must be stable and reproducible enough for scientists to make sense of the system's behavior, but unpredictable enough that it can produce useful results?
- ... that the American biologist Christopher Langton in the late 1980s is one of the founders of the field of artificial life.
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