Portal:Systems science
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| Complex systems approach |
Systems science is an 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.
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An economic system, or economic order, is a system of production, resource allocation and distribution of goods and services within a society. It includes the combination of the various institutions, agencies, entities, decision-making processes, and patterns of consumption that comprise the economic structure of a given community.
An economic system is a type of social system. The mode of production is a related concept. All economic systems must confront and solve the four fundamental economic problems:
- What kinds and quantities of goods shall be produced: This fundamental economic problem is anchored on the theory of pricing. The theory of pricing, in this context, has to do with the economic decision-making between the production of capital goods and consumer goods in the economy in the face of scarce resources. In this regard, the critical evaluation of the needs of the society based on population distribution in terms of age, sex, occupation, and geography is very pertinent.
- How goods shall be produced: The fundamental problem of how goods shall be produced is largely hinged on the least-cost method of production to be adopted as gainfully peculiar to the economically decided goods and services to be produced. On a broad note, the possible production method includes labor-intensive and capital-intensive methods.
- How the output will be distributed: Production is said to be completed when the goods get to the final consumers. This fundamental problem of how the output will be distributed seeks to identify the best possible medium through which bottlenecks and the clogs in the wheel of the chain of economic resources distributions can reduce to the barest minimum and optimize consumers' satisfaction.
- When to produce: Consumer satisfaction is partly a function of seasonal analysis as the forces of demand and supply have a lot to do with time. This fundamental economic problem requires an intensive study of time dynamics and seasonal variation vis-a-vis the satisfaction of consumers' needs. It is noteworthy to state that solutions to these fundamental problems can be determined by the type of economic system. (Full article...)
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Benoit B. Mandelbrot (20 November 1924 – 14 October 2010) was a Polish-born French-American mathematician and polymath with broad interests in the practical sciences, especially regarding what he labeled as "the art of roughness" of physical phenomena and "the uncontrolled element in life". He referred to himself as a "fractalist" and is recognized for his contribution to the field of fractal geometry, which included coining the word "fractal", as well as developing a theory of "roughness and self-similarity" in nature.
In 1936, at the age of 11, Mandelbrot and his family emigrated from Warsaw, Poland, to France. After World War II ended, Mandelbrot studied mathematics, graduating from universities in Paris and in the United States and receiving a master's degree in aeronautics from the California Institute of Technology. He spent most of his career in both the United States and France, having dual French and American citizenship. In 1958, he began a 35-year career at IBM, where he became an IBM Fellow, and periodically took leaves of absence to teach at Harvard University. At Harvard, following the publication of his study of U.S. commodity markets in relation to cotton futures, he taught economics and applied sciences. (Full article...)Did you know
- ... * continuing vertically with a science of design,
- ... that the American biologist Christopher Langton in the late 1980s is one of the founders of the field of artificial life.
- ... 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 multi-agent system (MAS) is a system composed of multiple interacting intelligent agents, which can be used to solve problems which are impossible for monolithic system to solve.
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