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Portal:Systems science - Wikipedia, the free encyclopedia

Portal:Systems science

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The Systems science Portal

Complex-adaptive-system.jpg
Complex systems approach

Systems are sets of entities, physical or abstract, comprising a whole where each component interacts with or is related to at least one other component and they all serve a common objective. The scientific research field which is engaged in the interdisciplinary study of universal system-based properties of the world is general system theory, systems science and recently systemics. They investigate the abstract properties of the matter and mind, their organization, searching concepts and principles which are independent of the specific domain, independent of their substance, type, or spatial or temporal scales of existence.

Systems science can be viewed as ... "a metalanguage of concepts and models for interdisciplinary use, still now evolving and far from being stabilized. This is the result of a slow process of accretion through inclusion and interconnection of many notions, which came and are still coming from very different disciplines. The process started more than a century ago, but has gathered momentum since 1948 through the pioneering work of Norbert Wiener, John von Neumann, Ludwig von Bertalanffy, Heinz von Foerster and W. Ross Ashby, among many others" (Charles François, 1999).

 

Selected article

Lorenz attractor yb.svg

In mathematics and physics, chaos theory describes the behavior of certain nonlinear dynamical systems that may exhibit dynamics that are highly sensitive to initial conditions (popularly referred to as the butterfly effect). As a result of this sensitivity, which manifests itself as an exponential growth of perturbations in the initial conditions, the behavior of chaotic systems appears to be random. This happens even though these systems are deterministic, meaning that their future dynamics are fully defined by their initial conditions, with no random elements involved. This behavior is known as deterministic chaos, or simply chaos.


 

Selected picture

Phoenix(Julia).gif


This fractal illustrates part of the magnification of the phoenix set.

 

Selected Systems scientist

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Gary S. Metcalf (born 1957) is an American organizational theorist, management consultant, and faculty member in the Organizational Systems concentration at Saybrook Graduate School. He received a Ph.D. in human science at Saybrook under the mentorship of Béla H. Bánáthy focused on Social Systems Design and Organizational Development.

Gary Metcalf is known for his 2001 book "The management of people in mergers and acquisitions" with Teresa A. Daniel. They explain that financials alone don't make mergers and acquisitions deals work. Human resource executives act as "change agents during the delicate maneuverings before a deal is done, and then after, when it's time to tackle the fine-grained problems of integrating disparate corporate cultures and the people who vitalize them".


 

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Did you know

  • ...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 systems scientist John Nelson Warfield found systems science to consist of a hierarchy of sciences.
    • Beginning at the base, with a science of description,
    • continuing vertically with a science of design,
    • then a science of complexity,
    • and next a science of action, called "Interactive management".



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