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The Self Organization of Disordered Systems: " Examples of Self-Organization In Nature " (en Inglés)
Paul F. Kisak
(Autor)
·
Createspace Independent Publishing Platform
· Tapa Blanda
The Self Organization of Disordered Systems: " Examples of Self-Organization In Nature " (en Inglés) - Kisak, Paul F.
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Origen: Estados Unidos
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Reseña del libro "The Self Organization of Disordered Systems: " Examples of Self-Organization In Nature " (en Inglés)"
Self-organization is a process where some form of the overall order or coordination arises out of the local interactions between smaller component parts of an initially disordered system. The process of self-organization can be spontaneous, and it is not necessarily controlled by any auxiliary agent 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, the organization is typically robust and able to survive and, even, 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. Examples of its realization can be found in crystallization, thermal convection of fluids, chemical oscillation, animal swarming, and artificial and biological.The self-organization of simple compounds into complex structures is one of strongest proofs to the theory of abiogenesis. This book is an overview of the ideas and examples that pertain to the principles of self-organization in what were originally disordered systems.This book is designed to be a state of the art, superb academic reference work and provide an overview of the topic and give the reader a structured knowledge to familiarize yourself with the topic at the most affordable price possible.The accuracy and knowledge is of an international viewpoint as the edited articles represent the inputs of many knowledgeable individuals and some of the most current knowledge on the topic, based on the date of publication.
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