The Resource Information and self-organization : a macroscopic approach to complex systems, Hermann Haken, (electronic book)
Information and self-organization : a macroscopic approach to complex systems, Hermann Haken, (electronic book)
Resource Information
The item Information and self-organization : a macroscopic approach to complex systems, Hermann Haken, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Sydney Jones Library, University of Liverpool.This item is available to borrow from 1 library branch.
Resource Information
The item Information and self-organization : a macroscopic approach to complex systems, Hermann Haken, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Sydney Jones Library, University of Liverpool.
This item is available to borrow from 1 library branch.
- Summary
- 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. With the aid of results from synergetics, adequate objective constraints for a large class of self-organizing systems are formulated and examples are given from physics, life and computer science. The relationship to chaos theory is examined and it is further shown that, based on possibly scarce and noisy data, unbiased guesses about processes of complex systems can be made and the underlying deterministic and random forces determined. This allows for probabilistic predictions of processes, with applications to numerous fields in science, technology, medicine and economics. The extensions of the third edition are essentially devoted to an introduction to the meaning of information in the quantum context. Indeed, quantum information science and technology is presently one of the most active fields of research at the interface of physics, technology and information sciences and has already established itself as one of the major future technologies for processing and communicating information on any scale. This book addresses graduate students and nonspecialist researchers wishing to get acquainted with the concept of information from a scientific perspective in more depth. It is suitable as a textbook for advanced courses or for self-study
- Language
- eng
- Edition
- 3rd enl. ed.
- Extent
- 1 online resource (xiv, 257 pages)
- Contents
-
- example from physics : thermodynamics
- 5.
- Application of the maximum information principle to self-organizing systems
- 6.
- maximum information principle for nonequilibrium phase transitions : determination of order parameters, enslaved modes, and emerging patterns
- 7.
- Information, information gain, and efficiency of self-organizing systems close to their instability points
- 8.
- Direct determination of lagrange multipliers
- 9.
- Machine generated contents note:
- Unbiased modeling of stochastic processes : how to guess path integrals, Fokker-Planck equations and Langevin-Ito equations
- 10.
- Application to some physical systems
- 11.
- Transitions between behavioral patterns in biology, an example : hand movements
- 12.
- Pattern recognition. Unbiased guesses of processes : explicit determination of Lagrange multipliers
- 13.
- Information compression in cognition : the interplay between Shannon and semantic information
- 14.
- 1.
- Quantum systems
- 15.
- Quantum information
- 16.
- Quantum computation
- challenge of complex systems
- 2.
- From the microscopic to the macroscopic world
- 3.
- ... and back again : the maximum information principle (MIP)
- 4.
- Isbn
- 9783540330233
- Label
- Information and self-organization : a macroscopic approach to complex systems
- Title
- Information and self-organization
- Title remainder
- a macroscopic approach to complex systems
- Statement of responsibility
- Hermann Haken
- Language
- eng
- Summary
- 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. With the aid of results from synergetics, adequate objective constraints for a large class of self-organizing systems are formulated and examples are given from physics, life and computer science. The relationship to chaos theory is examined and it is further shown that, based on possibly scarce and noisy data, unbiased guesses about processes of complex systems can be made and the underlying deterministic and random forces determined. This allows for probabilistic predictions of processes, with applications to numerous fields in science, technology, medicine and economics. The extensions of the third edition are essentially devoted to an introduction to the meaning of information in the quantum context. Indeed, quantum information science and technology is presently one of the most active fields of research at the interface of physics, technology and information sciences and has already established itself as one of the major future technologies for processing and communicating information on any scale. This book addresses graduate students and nonspecialist researchers wishing to get acquainted with the concept of information from a scientific perspective in more depth. It is suitable as a textbook for advanced courses or for self-study
- Cataloging source
- COO
- http://library.link/vocab/creatorName
- Haken, H
- Dewey number
- 003/.7
- Illustrations
- illustrations
- Index
- index present
- LC call number
- Q325
- LC item number
- .H35 2006
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- Series statement
-
- Springer complexity
- Springer series in synergetics,
- http://library.link/vocab/subjectName
-
- Self-organizing systems
- Entropy (Information theory)
- Biophysics/Biomedical Physics
- Complexity
- Data Structures, Cryptology and Information Theory
- Quantum Computing, Information and Physics
- Label
- Information and self-organization : a macroscopic approach to complex systems, Hermann Haken, (electronic book)
- Bibliography note
- Includes bibliographical references (pages 244-250) and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- example from physics : thermodynamics
- 5.
- Application of the maximum information principle to self-organizing systems
- 6.
- maximum information principle for nonequilibrium phase transitions : determination of order parameters, enslaved modes, and emerging patterns
- 7.
- Information, information gain, and efficiency of self-organizing systems close to their instability points
- 8.
- Direct determination of lagrange multipliers
- 9.
- Machine generated contents note:
- Unbiased modeling of stochastic processes : how to guess path integrals, Fokker-Planck equations and Langevin-Ito equations
- 10.
- Application to some physical systems
- 11.
- Transitions between behavioral patterns in biology, an example : hand movements
- 12.
- Pattern recognition. Unbiased guesses of processes : explicit determination of Lagrange multipliers
- 13.
- Information compression in cognition : the interplay between Shannon and semantic information
- 14.
- 1.
- Quantum systems
- 15.
- Quantum information
- 16.
- Quantum computation
- challenge of complex systems
- 2.
- From the microscopic to the macroscopic world
- 3.
- ... and back again : the maximum information principle (MIP)
- 4.
- Control code
- SPR77924272
- Dimensions
- unknown
- Edition
- 3rd enl. ed.
- Extent
- 1 online resource (xiv, 257 pages)
- Form of item
- online
- Isbn
- 9783540330233
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- illustrations.
- Specific material designation
- remote
- Label
- Information and self-organization : a macroscopic approach to complex systems, Hermann Haken, (electronic book)
- Bibliography note
- Includes bibliographical references (pages 244-250) and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- example from physics : thermodynamics
- 5.
- Application of the maximum information principle to self-organizing systems
- 6.
- maximum information principle for nonequilibrium phase transitions : determination of order parameters, enslaved modes, and emerging patterns
- 7.
- Information, information gain, and efficiency of self-organizing systems close to their instability points
- 8.
- Direct determination of lagrange multipliers
- 9.
- Machine generated contents note:
- Unbiased modeling of stochastic processes : how to guess path integrals, Fokker-Planck equations and Langevin-Ito equations
- 10.
- Application to some physical systems
- 11.
- Transitions between behavioral patterns in biology, an example : hand movements
- 12.
- Pattern recognition. Unbiased guesses of processes : explicit determination of Lagrange multipliers
- 13.
- Information compression in cognition : the interplay between Shannon and semantic information
- 14.
- 1.
- Quantum systems
- 15.
- Quantum information
- 16.
- Quantum computation
- challenge of complex systems
- 2.
- From the microscopic to the macroscopic world
- 3.
- ... and back again : the maximum information principle (MIP)
- 4.
- Control code
- SPR77924272
- Dimensions
- unknown
- Edition
- 3rd enl. ed.
- Extent
- 1 online resource (xiv, 257 pages)
- Form of item
- online
- Isbn
- 9783540330233
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- illustrations.
- Specific material designation
- remote
Subject
- Complexity
- Data Structures, Cryptology and Information Theory
- Entropy (Information theory)
- Quantum Computing, Information and Physics
- Self-organizing systems
- Biophysics/Biomedical Physics
Member of
- Online access with purchase: Springer
- Springer complexity
- Springer series in synergetics (Unnumbered)
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/portal/Information-and-self-organization--a-macroscopic/_QU-E_jmeHg/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/portal/Information-and-self-organization--a-macroscopic/_QU-E_jmeHg/">Information and self-organization : a macroscopic approach to complex systems, Hermann Haken, (electronic book)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">Sydney Jones Library, University of Liverpool</a></span></span></span></span></div>
