Self-Organization In Non-Equilibrium Systems. G. Nicolis, Ilya Prigogine

Self-Organization In Non-Equilibrium Systems


Self.Organization.In.Non.Equilibrium.Systems.pdf
ISBN: 0471024015,9780471024019 | 504 pages | 13 Mb


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Self-Organization In Non-Equilibrium Systems G. Nicolis, Ilya Prigogine
Publisher: John Wiley & Sons




That explains the importance of dissipative structures in self-organizing systems. Self-Organization in Non-Equilibrium Systems. According to these researchers, living systems are self-producing machines, autopoietic systems that are both producer and product; they are self-organized. Nobel laureate Ilya Prigogine, for instance, found that phenomena of self-organisation and autocatalysis are not life-specific but belong to any matter in states far from equilibrium such as ultra-hot magma or ultra-cold gas (Prigogine, 1977; Prigogine and Stengers, 1984). Autopoiesis refers to the dynamics of a non-equilibrium system and describes an organized state that remains stable for long periods of time despite matter and energy continually flowing through it. It is shown that a higher number of interrelated processes within the system result in an increased probability of self-organization. It is this flow that maintains the organization of the open system. Another approach is to look for the system as a whole, studying dynamic of the elements interaction and system properties – the science of self-organization. Instability - software development deals with constantly changing situations; Multiple equilibria – there are many possible satisfying solutions; Complexity - any non-trivial software project has complexity; Hierarchies - there are many perspectives and levels – organizational, technological and solution domain. Sigmund Freud began his career by studying the nervous systems of crayfishes and sectioning hundreds of male eels looking for their penises at the Trieste zoological station.