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Understanding Complex Systems

Morphogenetic Engineering

Toward Programmable Complex Systems

Editors: Doursat, René, Sayama, Hiroki, Michel, Olivier (Eds.)

  • Edited and authored by leading researchers in the field
  • First comprehensive monograph on this newly emerging field
  • Suitable as both self-study tutorial and reference text
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  • ISBN 978-3-642-33902-8
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Hardcover $149.00
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  • ISBN 978-3-642-33901-1
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Softcover $149.99
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  • ISBN 978-3-662-50564-9
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About this book

 Generally, spontaneous pattern formation phenomena are random and repetitive, whereas elaborate devices are the deterministic product of human design.
Yet, biological organisms and collective insect constructions are exceptional examples of complex systems that are both self-organized and architectural.
 
This book is the first initiative of its kind toward establishing a new field of research, Morphogenetic Engineering, to explore the modeling and implementation of “self-architecturing” systems. Particular emphasis is placed on the programmability and computational abilities of self-organization, properties that are often underappreciated in complex systems science—while, conversely, the benefits of self-organization are often underappreciated in engineering methodologies.
 
Altogether, the aim of this work is to provide a framework for and examples of a larger class of “self-architecturing” systems, while addressing fundamental questions such as
 
> How do biological organisms carry out morphogenetic tasks so reliably?
> Can we extrapolate their self-formation capabilities to engineered systems?
> Can physical systems be endowed with information (or informational systems be embedded in physics) so as to create autonomous morphologies and functions?
> What are the core principles and best practices for the design and engineering of such morphogenetic systems?
The intended audience consists of researchers and graduate students who are working on, starting to work on, or interested in programmable self-organizing systems in a wide range of scientific fields, including computer science, robotics, bioengineering, control engineering, physics, theoretical biology, mathematics, and many others.

Table of contents (19 chapters)

  • Morphogenetic Engineering: Reconciling Self-Organization and Architecture

    Doursat, René (et al.)

    Pages 1-24

  • SWARMORPH: Morphogenesis with Self-Assembling Robots

    O’Grady, Rehan (et al.)

    Pages 27-60

  • Morphogenetic Robotics: A New Paradigm for Designing Self-Organizing, Self-Reconfigurable and Self-Adaptive Robots

    Jin, Yaochu (et al.)

    Pages 61-87

  • Distributed Autonomous Morphogenesis in a Self-Assembling Robotic System

    Liu, Wenguo (et al.)

    Pages 89-113

  • Collective Construction with Robot Swarms

    Werfel, Justin

    Pages 115-140

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-3-642-33902-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.00
price for USA
  • ISBN 978-3-642-33901-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.99
price for USA
  • ISBN 978-3-662-50564-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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
Morphogenetic Engineering
Book Subtitle
Toward Programmable Complex Systems
Editors
  • René Doursat
  • Hiroki Sayama
  • Olivier Michel
Series Title
Understanding Complex Systems
Copyright
2012
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-33902-8
DOI
10.1007/978-3-642-33902-8
Hardcover ISBN
978-3-642-33901-1
Softcover ISBN
978-3-662-50564-9
Series ISSN
1860-0832
Edition Number
1
Number of Pages
IX, 517
Additional Information
Jointly published with NECSI
Topics