Self-Organizing Process
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A Self-Organizing Process is an organizing process based on local interactions between the system components.
- Example(s):
- a Self-Assembly Process, such as for viruses.
- a Crystallization Process.
- a Self-Organizing Business Process.
- …
- Counter-Example(s):
- See: Self-Organizing Feature Map (SOFM), Neural Networks, Statistical Fluctuations, Positive Feedback, Chemical Oscillator, Swarming, Collective Decision-Making.
References
2015
- (Wikipedia, 2015) ⇒ http://en.wikipedia.org/wiki/self-organization Retrieved:2015-5-19.
- Self-organization is a process where some form of overall order or coordination arises out of the local interactions between the components of an initially disordered system. This process is spontaneous: it is not necessarily directed or controlled by any agent or subsystem inside or outside of the system. It is often triggered by random fluctuations that are amplified by positive feedback. The resulting organization is wholly decentralized or distributed over all the components of the system. As such it is typically very robust and able to survive and self-repair substantial damage or perturbations. Chaos theory discusses self-organization in terms of islands of predictability in a sea of chaotic unpredictability.
Self-organization occurs in a variety of physical, chemical, biological, robotic, social and cognitive systems. Common examples include crystallization, the emergence of convection patterns in a liquid heated from below, chemical oscillators, swarming in groups of animals, and the way neural networks learn to recognize complex patterns.
- Self-organization is a process where some form of overall order or coordination arises out of the local interactions between the components of an initially disordered system. This process is spontaneous: it is not necessarily directed or controlled by any agent or subsystem inside or outside of the system. It is often triggered by random fluctuations that are amplified by positive feedback. The resulting organization is wholly decentralized or distributed over all the components of the system. As such it is typically very robust and able to survive and self-repair substantial damage or perturbations. Chaos theory discusses self-organization in terms of islands of predictability in a sea of chaotic unpredictability.
1988
- (Kohonen, 1988) ⇒ Teuvo Kohonen. (1988). “Self-Organization and Associative Memory.” In: Springer-Verlag. ISBN:3540183140
- QUOTE: ... This monograph gives a tutorial treatment of new approaches to self-organization, adaptation, learning and memory. ...