Emergence, Complexity and Computation

Guided Self-Organization: Inception

Editors: Prokopenko, Mikhail (Ed.)

  • Captures the most representative approaches of the emerging field of guided self-organization, and covers its development over the last few years
  • Includes in-depth reviews and descriptions of future research in the most important guided self-organization areas
  • Offers a comprehensive perspective on guided self-organization at the early years of this emerging field
  • Edited and written by leading experts in the field
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eBook $139.00
price for USA (gross)
  • ISBN 978-3-642-53734-9
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  • Immediate eBook download after purchase
Hardcover $179.00
price for USA
  • ISBN 978-3-642-53733-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 11, 2016
  • ISBN 978-3-662-52392-6
  • Free shipping for individuals worldwide
Rent the ebook  
  • Rental duration: 1 or 6 month
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About this book

Is it possible to guide the process of self-organisation towards specific patterns and outcomes? Wouldn’t this be self-contradictory? After all, a self-organising process assumes a transition into a more organised form, or towards a more structured functionality, in the absence of centralised control. Then how can we place the guiding elements so that they do not override rich choices potentially discoverable by an uncontrolled process?

This book presents different approaches to resolving this paradox. In doing so, the presented studies address a broad range of phenomena, ranging from autopoietic systems to morphological computation, and from small-world networks to information cascades in swarms. A large variety of methods is employed, from spontaneous symmetry breaking to information dynamics to evolutionary algorithms, creating a rich spectrum reflecting this emerging field.

Demonstrating several foundational theories and frameworks, as well as innovative practical implementations, Guided Self-Organisation: Inception, will be an invaluable tool for advanced students and researchers in a multiplicity of fields across computer science, physics and biology, including information theory, robotics, dynamical systems, graph theory, artificial life, multi-agent systems, theory of computation and machine learning.

Table of contents (16 chapters)

  • On the Cross-Disciplinary Nature of Guided Self-Organisation

    Prokopenko, Mikhail (et al.)

    Pages 3-15

  • Information Measures of Complexity, Emergence, Self-organization, Homeostasis, and Autopoiesis

    Fernández, Nelson (et al.)

    Pages 19-51

  • Generating Functionals for Guided Self-Organization

    Gros, Claudius

    Pages 53-66

  • Empowerment–An Introduction

    Salge, Christoph (et al.)

    Pages 67-114

  • A Framework for the Local Information Dynamics of Distributed Computation in Complex Systems

    Lizier, Joseph T. (et al.)

    Pages 115-158

Buy this book

eBook $139.00
price for USA (gross)
  • ISBN 978-3-642-53734-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.00
price for USA
  • ISBN 978-3-642-53733-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 11, 2016
  • ISBN 978-3-662-52392-6
  • Free shipping for individuals worldwide
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Guided Self-Organization: Inception
Editors
  • Mikhail Prokopenko
Series Title
Emergence, Complexity and Computation
Series Volume
9
Copyright
2014
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-53734-9
DOI
10.1007/978-3-642-53734-9
Hardcover ISBN
978-3-642-53733-2
Softcover ISBN
978-3-662-52392-6
Series ISSN
2194-7287
Edition Number
1
Number of Pages
XXII, 475
Number of Illustrations and Tables
118 b/w illustrations, 54 illustrations in colour
Topics