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Information and self-organization a macroscopic approach to complex systems by H. Haken

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Published by Springer in Berlin, New York .
Written in English

Subjects:

  • Self-organizing systems,
  • Entropy (Information theory)

Book details:

Edition Notes

Includes bibliographical references and index.

StatementHermann Haken.
SeriesSpringer series in synergetics, Springer complexity
The Physical Object
Paginationxiv, 257 p. :
Number of Pages257
ID Numbers
Open LibraryOL17841335M
ISBN 103540330216
LC Control Number2006926728
OCLC/WorldCa70268079

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Digital Physics: The Physics of Information, Computation, Self-Organization and Consciousness Q&A - Kindle edition by Lokanga, Ediho. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Digital Physics: The Physics of Information, Computation, Self-Organization and Consciousness Q&A.5/5(2). In this book we present an approach which starts out from macroscopic data. In particular we shall treat systems that acquire their new structure without specific interference from the outside; i. e. systems which are self-organizing. The vehicle we shall use is information. He has also written (in ) a more "popular" version of the ideas in this book (see his At Home in the Universe: The Search for the Laws of Self-Organization and Complexity). He states in the Preface, "This book is an attempt to focus attention on new themes in developmental and evolutionary by: In his book The Self-organizing Economy, Krugman () says, “The most provocative claim of the prophets of complexity is that complex systems often exhibit spontaneous properties of self-organization.” “I believe that the ideas of self-organization theory can add substantially to our understanding of the economy.” “In the last few.

This book presents the concepts needed to deal with self-organizing complex systems from a unifying point of view that uses macroscopic data. The various meanings of the concept "information" are discussed and a general formulation of the maximum information (entropy) principle is used. Self-organization is a process where some form of order arises out of a random system. The process is spontaneous: it happens on its is not directed or controlled by any agent inside or outside the system.. Self-organization occurs in a variety of physical, chemical, biological, social and cognitive systems. Self-Organization Defined Self-organization refers to a broad range of pattern-formation processes in both physical and biological systems, such as sand grains assembling into rippled dunes (Figure ), chemical reactants forming swirling spirals (Fig-ure a), cells making up highly structured tissues, and fish joining together in Size: 3MB.   Instead, the origin of life required complex cellular machinery and preexisting sources of information. The main reason for the differences between self-organizational and cellular order is that the driving tendencies in non-equilibrium systems move in the opposite direction to what is needed for both the origin and maintenance of life.

COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle . Self-organization, a process where some form of overall order arises out of the local interactions between parts of an initially disordered system, was discovered in cybernetics by William Ross Ashby in It states that any deterministic dynamic system automatically evolves towards a state of equilibrium that can be described in terms of an attractor in a basin of surrounding states.   "Self-organization" can be a very loaded term, and when there is not a discussion within organizations around what this means, teams Author: Steffan Surdek. Self-organization is the emergence of pattern and order in a system by internal processes, rather than external constraints or forces. Global features often emerge by self-organization involving local interactions between individuals.