Polystochastic Models for Complexity
This book is devoted to complexity understanding and management, considered as the main source of efficiency and prosperity for the next decades. Divided into six chapters, the book begins with a presentation of basic concepts as complexity, emergence and
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ial and Programme Advisory Board Dan Braha New England Complex Systems, Institute and University of Massachusetts, Dartmouth Péter Érdi Center for Complex Systems Studies, Kalamazoo College, USA and Hungarian Academy of Sciences, Budapest, Hungary Karl Friston Institute of Cognitive Neuroscience, University College London, London, UK Hermann Haken Center of Synergetics, University of Stuttgart, Stuttgart, Germany Janusz Kacprzyk System Research, Polish Academy of Sciences, Warsaw, Poland Scott Kelso Center for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton, USA Jürgen Kurths Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany Linda Reichl Center for Complex Quantum Systems, University of Texas, Austin, USA Peter Schuster Theoretical Chemistry and Structural Biology, University of Vienna, Vienna, Austria Frank Schweitzer System Design, ETH Zürich, Zürich, Switzerland Didier Sornette Entrepreneurial Risk, ETH Zürich, Zürich, Switzerland
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 in the rich diversity of behavior of which they are capable. The Springer Series in Understanding Complex Systems series (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, neuroand 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.
Octavian Iordache
Polystochastic Models for Complexity
ABC
Author Dr. Octavian Iordache Polystochastic 3205 Blvd Pitfield St-Laurent, Montreal Quebec Canada H4S 1H3 E-mail: [email protected]
ISBN 978-3-642-10653-8
e-ISBN 978-3-642-10654-5
DOI 10.1007/978-3-642-10654-5 Understanding Complex Systems
ISSN 1860-0832
Library of Congress Control Number: 2010920829 c 2010 Springer-Verlag Berlin Heidelberg
This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprintin
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