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Unifying Themes in Complex Systems IV: Proceedings of the Fourth International Conference on Complex Systems: 4 PDF

419 Pages·2008·34.863 MB·English
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Unifying Themes (cid:2) in Complex Systems IV (cid:2) Springer Complexity springer Complexity is an interdisciplinary program publishing the best research and academic-level teaching on both fundamental and applied aspects of complex systems - cutting across all traditional disciplines of the natural and life sciences, engineering, economics, medicine, neuroscience, social and computer science. Complex Systems are systems that comprise many interacting parts with the abil› ity to generate a new quality of macroscopic collective behavior the manifestations of which are the spontaneous formation of distinctive temporal, spatial or functional structures. Models of such systems can be successfully mapped onto quite diverse "real-life" situations like the climate, the coherent emission of light from lasers, chemical reaction-diffusion systems, biological cellular networks, the dynamics of stock markets and of the internet, earthquake statistics and prediction, freeway traf› fic, the human brain, or the formation of opinions in social systems, to name just some of the popular applications. Although their scope and methodologies overlap somewhat, one can distinguish the following main concepts and tools: self-organization, nonlinear dynamics, syn› ergetics, turbulence, dynamical systems, catastrophes, instabilities, stochastic pro› cesses, chaos, graphs and networks, cellular automata, adaptive systems, genetic al› gorithms and computational intelligence. The two major book publication platforms of the Springer Complexity program are the monograph series "Understanding Complex Systems" focusing on the vari› ous applications of complexity, and the "Springer Series in Synergetics", which is devoted to the quantitative theoretical and methodological foundations. In addition to the books in these two core series, the program also incorporates individual titles ranging from textbooks to major reference works. Editorial and Programme Advisory Board P^ter 6rdi Center for Complex Systems Studies, Kalamazoo College, USA, and Hungarian Academy of Sciences, Budapest, Hungary Karl Friston National Hospital, Institute Neurology, Wellcome Dept. Cogn. Neurology, 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 Jiirgen Kurths Nonlinear Dynamics Group, University of Potsdam, Potsdam, Germany Linda Reichl Department of Physics, Prigogine Center for Statistical Mechanics, University of Texas, Austin, USA Peter Schuster Theoretical Chemistry and Structural Biology, University of Vienna, Vienna, Austria Frank Schweitzer System Design, ETH Zurich, Zurich, Switzerland Didier Sornette Entrepreneurial Risk, ETH Zurich, Zurich, Switzerland New England Complex Systems Institute President Yaneer Bar-Yam New England Complex Systems Institute 24 Mt. Auburn St. NECSI Cambridge, MA 02138, USA For over 10 years. The New England Complex Systems Institute (NECSI) has been instrumental in the development of complex systems science and its applications. NECSI conducts research, education, know-ledge dissemination, and community development around the world for the promotion of the study of complex systems and its application for the betterment of society. NECSI was founded by faculty of New England area academic institutions in 1996 to further international research and understanding of complex systems. Complex systems is a growing field of science that aims to understand how parts of a system give rise to the system*s collective behaviors, and how it interacts with its environment. These questions can be studied in general, and they are also relevant to all traditional fields of science. Social systems formed (in part) out of people, the brain formed out of neurons, molecules formed out of atoms, and the weather formed from air flows are all examples of complex systems. The field of complex systems intersects all traditional disciplines of physical, biological and social sciences, as well as engineering, management, and medicine. Advanced education in complex systems attracts professionals, as complex systems science provides practical approaches to health care, social networks, ethnic violence, marketing, military conflict, education, systems engineering, international development and terrorism. The study of complex systems is about understanding indirect effects. Problems we find difficult to solve have causes and effects that are not obviously related. Pushing on a complex system "here" often has effects "over there" because the parts are interdependent. This has become more and more apparent in our efforts to solve societal problems or avoid ecological disasters caused by our own actions. The field of complex systems provides a number of sophisticated tools, some of them conceptual helping us think about these systems, some of them analytical for studying these systems in greater depth, and some of them computer based for describing, modeling or simulating them. NECSI research develops basic concepts and formal approaches as well as their applications to real world problems. Contributions of NECSI researchers include studies of networks, agent-based modeling, multiscale analysis and complexity, chaos and predictability, evolution, ecology, biodiversity, altruism, systems biology, cellular response, health care, systems engineering, negotiation, military conflict, ethnic violence, and international development. NECSI uses many modes of education to further the investigation of complex systems. Throughout the year, classes, seminars, conferences and other programs assist students and professionals alike in their understanding of complex systems. Courses have been taught all over the world: Australia, Canada, China, Colombia, France, Italy, Japan, Korea, Portugal, Russia and many states of the U.S. NECSI also sponsors postdoctoral fellows, provides research resources, and hosts the International Conference on Complex Systems, discussion groups and web resources. New England Complex Systems Institute Book Series Series Editor Ntx^^l New England Complex Systems Institute 24 Mt. Auburn St. Cambridge, MA 02138, USA New England Complex Systems Institute Book Series The world around is full of the wonderful interplay of relationships and emergent behaviors. The beautiful and mysterious way that atoms form biological and social systems inspires us to new efforts in science. As our society becomes more concerned with how people are connected to each other than how they work independently, so science has become interested in the nature of relationships and relatedness. Through relationships elements act together to become systems, and systems achieve function and purpose. The study of complex systems is remarkable in the closeness of basic ideas and practical implications. Advances in our understanding of complex systems give new opportunities for insight in science and improvement of society. This is manifest in the relevance to engineering, medicine, management and education. We devote this book series to the communication of recent advances and reviews of revolutionary ideas and their application to practical concerns. Unifying Themes (cid:2) in Complex Systems IV Proceedings of the Fourth International Conference on Complex Systems Edited by Ali Minai and Yaneer Bar-Yam Ali A. Minai Univeristy of Cincinnati Department of Electrical and Computer Engineering, and Computer Science P.O. Box 210030, Rhodes Hall 814 Cincinnati, OH 45221-0030 USA Email: [email protected] Yaneer Bar-Yam New England Complex Systems Institute 24 Mt. Auburn St. Cambridge, MA 02138-3068 USA Email: [email protected] This volume is part of the New England Complex Systems Institute Series on Complexity Library of Congress Control Number: 2007934938 ISBN 978-3-540-73848-0 Springer Berlin Heidelberg New York 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, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version. Violations are liable for prosecution under the German Copyright Law. Springer is a part of Springer Science+Business Media springer.com © NECSI Cambridge, Massachusetts 2008 Printed in the USA The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. CONTENTS (cid:2) Introduction iv Organization and Program v NECSI Publications xxiv PART I: Methods Mark Klein, Hiroki Sayama, Peyman Faratin & Yaneer Bar-Yam - A Complex Systems Perspective on Collaborative Design 3 Fabrice Saffre - RAn (Robustness Analyser) 12 Boris Mitavskiy - Invariant Subsets of the Search Space and UniversaUty of a GeneraUzed Genetic Algorithm 20 PART II: Models Erzilia Lozneanu & Mircea Sanduloviciu - Cell-like Space Charge Configurations Formed by Self-Organization in Laboratory 31 Masaharu Kuroda & Francis C. Moon - Local Complexity and Global Nonlinear Modes in Large Arrays of Elastic Rods in an Air Cross-Flow 39 Jacques Lewalle - Self-organization in Navier-Stokes turbulence 51 Plamen Petrov - The Game (Introduction to Digital Physics) 59 Douglas E. Norton - Epsilon-Pseudo-Orbits and Apphcations 65 Sebastian Popescu, Erzilia Lozneanu &c Mircea Sanduloviciu - On the "Mystery" of the Differential Negative Resistance 72 Robert Melamede - Dissipative Structures and the Origins of Life 80 Christopher A. Shaw, Jason M.B. Wilson & Iraj Khabazian - Reverse Engineering Neurological Diseases 88 Chris Phoenix - A Multi-Level Synthesis of Dyslexia 100 Mathieu S. Capcarrere - Emergent Computation in CA: A Matter of Visual Efficiency? 113 Michael Bretz - Emergent Probability: A Directed Scale-Free Network Approach to Lonergan’s Generic Model of Development 123 Burton Voorhees - Virtual Stability: A Principle of Complex Systems 133 Elena Bystrova, Evgenia Bogomolova, Ludmila Panina, Anton Bulianitsa & Vladimir Kurochkin - Fungal Colony Patterning as an Example of Biological Self-Organization 139 Konstantin L. Kouptsov - Production-rule Complexity of Recursive Structures 149 Pawel Siwak - Iterons: the Emergent Coherent Structures of lAMs 158 Igor Yevin - Criticality of the Brain and CriticaJity of the Art 168 R.P. Taylor, B. Spehar, C.W.G. Clifford & B.R- Newell - The Visual Complexity of Pollock’s Dripped Fractals 175 Ivar Hagendoorn - Emergent Patterns in Dance Improvisation and Choreography 183 Chang-Yong Lee - A Stochastic Dynamics for the Popularity of Websites 196 Hugues Bersini - Design Patterns for the Generation and the Analysis of Chemical Reaction Networks 205 Klaus Jaffe - On the Adaptive Value of Sex 213 Arturo H. Ariiio, Carlos Belascoain & Rafael Jordana - Optimal Sampling for Complexity In Soil Ecosystems 222 Julien Clinton Sprott - Predator-Prey Dynamics for Rabbits, Trees, and Romance 231 Elin Whitney-Smith - The Evolution of an Ecosystem: Pleistocene Ex› tinctions 239 Irina Manolescu & Claudia-Gabriela Cior&scu - The Accuracy of Auto-Adaptive Models for Estimating Romanian Firms’ Cost of Equity 247 Gary G. Nelson & Peter M. Allen - Self-Organizing Geography: Scaled Objects and Regional Planning in the U.S. 255 Fabiano Sobreira & Joana Barros - City of Slums: Self-Organisation Across Scales 265 PART III: Applications Radhika Nagpal - Programmable Pattern-Formation and Scale- Independence 275 Regina Estkowski, Michael Howard & David Payton - Amorphous Predictive Nets 283 Vladimir Gudkov and Joseph E. Johnson - Multidimensional Net› work Monitoring for Intrusion Detection 291 Robert Ghanea-Hercock - Co-operative Agents in Network Defence303 Jacob Beal - An Algorithm for Bootstrapping Communications 311 Vinod Subramanian, Rajkumar Arumugam &: Ali A. Minai - Self- Organization of Connectivity and Geographical Routing in Large-Scale Sensor Networks 332 Rajkumar Arumugam, Vinod Subramanian & Ali A. Minai - In› telligent Broadcast in Random Large-Scale Sensor Networks 321 (cid:2) Fred M. Discenzo, Francisco P. Maturana & Dukki Chung - Man› aged Complexity in An Agent-based Vent Fan Control System Based on Dynamic Re-configuration 345 (cid:2) A. Das, M. Marko, A. Probst, M. A. Porter Sc C. Gershenson - Neural Net Model for Featured Word Extraction 353 (cid:2) Robert L. Goldstone &; Benjamin C. Ashpole - The Distribution of Agents to Resources in a Networked Multi-player Environment 362 (cid:2) Semih Onut, Ibrahim Erdem & Bora Hosver - Customer Relation› ship Management in Banking Sector and A Model Design for Banking Performance Enhancement 370 (cid:2) Czeslaw Mesjasz - How Complex Systems Studies Could Help in Iden› tification of Threats of Terrorism? 379 (cid:2) Index of authors 390 (cid:2)

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