A Synthesis of the Cell2Organ Developmental Model
Over the past two decades, many techniques have been elaborated to simulate artificial, robotic creatures at different scales. After behavioral models in the 1990s, researchers made the robot morphologies evolvable to be better adapted to their environmen
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tems Design, ETH Zurich, Zurich, Switzerland Didier Sornette, Chair of Entrepreneurial Risks, ETH Zurich, Zurich, Switzerland Stefan Thurner, Section for Science of Complex Systems, Medical University of Vienna, Vienna, Austria
Understanding Complex Systems Founding Editor: J. A. Scott Kelso Future scientific and technological developments in many fields will necessarily depend upon coming to grips with complex systems. Such systems are complex in both their composition— typically many different kinds of components interacting simultaneously and nonlinearly with each other and their environments on multiple levels—and the rich diversity of behavior of which they are capable. The Springer series in Understanding Complex Systems (UCS) promotes new strategies and paradigms for understanding and realizing applications of complex systems research in a wide variety of fields and endeavors. UCS is explicitly transdisciplinary. It has three main goals: First, to elaborate the concepts, methods and tools of complex systems at all levels of description and in all scientific fields, especially newly emerging areas within the life, social, behavioral, economic, neuro- and cognitive sciences (and derivatives thereof); second, to encourage novel applications of these ideas in various fields of engineering and computation such as robotics, nano-technology and informatics; third, to provide a single forum within which commonalities and differences in the workings of complex systems may be discerned, hence leading to deeper insight and understanding. UCS will publish monographs, lecture notes and selected edited contributions aimed at communicating new findings to a large multidisciplinary audience.
For further volumes: http://www.springer.com/series/5394
René Doursat Hiroki Sayama Olivier Michel •
Editors
Morphogenetic Engineering Toward Programmable Complex Systems
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Editors René Doursat Institut des Systèmes Complexes, Paris Ile-de-France (ISC-PIF) CNRS and Ecole Polytechnique Paris France
Olivier Michel Algorithmic, Complexity and Logic Laboratory, Faculté des Sciences et Technologie Université Paris-Est Créteil Créteil France
Hiroki Sayama Department of Bioengineering Binghamton University State University of New York Binghamton, NY USA
ISSN 1860-0832 ISBN 978-3-642-33901-1 DOI 10.1007/978-3-642-33902-8
ISSN 1860-0840 (electronic) ISBN 978-3-642-33902-8 (eBook)
Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2012953376 Ó Springer-Verlag Berlin Heidelberg 2012 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connect
