Bücher der Reihe Understanding Complex Systems

This book is devoted to applications of complex nonlinear dynamic phenomena to real systems and device applications. In recent decades there has been significant progress in the theory of nonlinear phenomena, but there are comparatively few devices that actually take this rich behavior into account.

An important part of the science of complexity is the study of emergent properties arising through dynamical processes, in various natural and artificial systems. This book presents multidisciplinary approaches for creating and modeling representations of complex systems, and a variety of methods for extracting emergent structures.

Computer and communication networks are among society's most important infrastructures. It is a paradigm of a complex system, where complexity may arise from different sources: topological structure, network evolution, connection and node diversity, and /or dynamical evolution.

An important part of the science of complexity is the study of emergent properties arising through dynamical processes, in various natural and artificial systems. This book presents multidisciplinary approaches for creating and modeling representations of complex systems, and a variety of methods for extracting emergent structures.

This coherent and articulate volume summarizes work carried out in the field of theoretical signal and image processing. The aim of this volume is to bring together research directions in theoretical signal and imaging processing developed rather independently in electrical engineering, theoretical physics, mathematics and the computer sciences.

The aim of this book is to advocate and promote network models of linguistic systems that are both based on thorough mathematical models and substantiated in terms of linguistics.

Wherever quantitative modeling and analysis of complex, nonlinear phenomena is required, chaos theory and its methods can play a key role. his fourth volume concentrates on reviewing further relevant contemporary applications of chaotic and nonlinear dynamics as they apply to the various cuttingedge branches of science and engineering.

In this book, experts from biology, physics and the social sciences examine the unification of all design phenomena in nature and apply this knowledge to designs in engineering, such as vascularization for self-healing and self-cooling materials for aircraft.

In particular, a general model for studying time evolution of transition networks, deflection routing in complex networks, recommender systems for social networks analysis and mining, strategy selection in networked evolutionary games, integration and methods in computational biology, are discussed in detail.

In this book for the first time two scientific fields - consensus formation and synchronization of communications - are presented together and examined through their interrelational aspects, of rapidly growing importance.

This volume examines contemporary applications of chaotic nonlinear systems to engineering. Coverage includes fluctuation relations and chaotic dynamics in physics, fractals and their applications in epileptic seizures, as well as chaos synchronization.

This self-contained text develops a Markov chain approach that makes the rigorous analysis of a class of microscopic models that specify the dynamics of complex systems at the individual level possible.

This book presents an analysis of the dynamics and the complexity of new product development projects which are organized according to the concept of concurrent engineering. Readers will discover diverse perspectives and mathematical models, as well as an extensive discussion of two case studies.

The concept of temporal networks is an extension of complex networks as a modeling framework to include information on when interactions between nodes happen. Many studies of the last decade examine how the static network structure affect dynamic systems on the network.

This topical volume, based on the findings of the Socionical European research project, gives equal attention to two highly relevant domains of applications: transport, specifically traffic, dynamics from the viewpoint of a socio-technical interaction and evacuation scenarios for large-scale emergency situations.

This volume provides an introduction to and overview of the emerging field of interconnected networks which include multilayer or multiplex networks, as well as networks of networks.

This proceedings volume contains talks and poster presentations from the International Symposium "Self-Organization in Complex Systems: The Past, Present, and Future of Synergetics", which took place at Hanse-Wissenschaftskolleg, an Institute of Advanced Studies, in Delmenhorst, Germany, during the period November 13 - 16, 2012.

With contributions from a number of pioneeringresearchers in the field, this collection is aimed not only at researchers andscientists in nonlinear dynamics but also at a broader audience interested inunderstanding and exploring how modern chaos theory has developed since thedays of Poincaré. This book was motivated by and isan outcome of the CHAOS 2015 meeting held at the Henri Poincaré Institute inParis, which provided a perfect opportunity to gain inspiration and discuss newperspectives on the history, development and modern aspects of chaos theory. HenriPoincaré is remembered as a great mind in mathematics, physics and astronomy.His works, well beyond their rigorous mathematical and analytical style, areknown for their deep insights into science and research in general, and thephilosophy of science in particular. The Poincaré conjecture (only proved in2006) along with his work on the three-body problem are considered to be thefoundation of modern chaos theory.

This work proposes that Carl Menger's Subjective Theory of Value (STV), and its subsequent elaboration by Ludwig von Mises as Praxeology, provides a useful alternative to more common methods in the study of action and social phenomena, and more specifically, to leadership in complex social systems.

This book is devoted to the modeling and understandingof complex urban systems. This second volume of Understanding Complex UrbanSystems focuses on the challenges of the modeling tools, concerning, e.g., thequality and quantity of data and the selection of an appropriate modelingapproach. It is meant to support urban decision-makers¿including municipalpoliticians, spatial planners, and citizen groups¿in choosing an appropriatemodeling approach for their particular modeling requirements. The contributorsto this volume are from different disciplines, but all share the same goal:optimizing the representation of complex urban systems. They present anddiscuss a variety of approaches for dealing with data-availability problems andfinding appropriate modeling approaches¿and not only in terms of computermodeling. The selection of articles featured in this volume reflecta broad variety of new and established modeling approaches such as: - An argument for using Big Data methods inconjunction with Agent-based Modeling;- The introduction of a participatory approachinvolving citizens, in order to utilize an Agent-based Modeling approach tosimulate urban-growth scenarios;- A presentation of semantic modeling to enable aflexible application of modeling methods and a flexible exchange of data;- An article about a nested-systems approach toanalyzing a city¿s interdependent subsystems (according to these subsystems¿different velocities of change);- An article about methods that use Luhmann¿s systemtheory to characterize cities as systems that are composed of flows;- An article that demonstrates how the Sen-NussbaumCapabilities Approach can be used in urban systems to measure household well-beingshifts that occur in response to the resettlement of urban households;- A final article that illustrates how Adaptive Cyclesof Complex Adaptive Systems, as well as innovation, can be applied to gain abetter understanding of cities and to promote more resilient and moresustainable urban futures.

This first monograph of its kind introduces the reader to fundamental definitions, key concepts and case studies addressing the following issues of rapidly growing relevance for online communities: What are emotions? How do they emerge, how are they transmitted? How can one measure emotional states? What are cyberemotions? When do emotions and cyberemotions become collective phenomena? How can one model emotions and their changes? What role do emotions play for on-line communities?Edited and authored by leading scientists in this field, this book is a comprehensive reference for anyone working on applications of complex systems methods in the social sciences, as well as for social scientists, psychologists, experts in on-line communities and computer scientists.This book provides an excellent overview of the current state-of-art in research on collective emotional interactionsmediated by the Internet. It introduces a reader in social phenomena occurring in cyberspace, algorithms needed for automatic sentiment detection and data driven modeling of emotional patterns observed in on-line groups.Eugene Stanley, Professor, Boston UniversityWith the explosive hyper-exponential growth of the internet suddenly new ways of communication are emerging that give rise to a digital 'Homo empathicus', each of us suddenly being able to share thoughts and feelings with millions if not billions of others. This book is a true treat, a timely milestone that gives us insight in the co-evolution of the way we interact with each other and the communication technology provided through this new seemingly endless flexible digital world. Prof. Holyst did a great job bringing together real experts in the field of cyber emotions.Peter M.A. Sloot, Professor, University of Amsterdam, the Netherlands, Nanyang University, SingaporeThe book Cyberemotions embraces the topic of emotion studies in cyberspace from a very rich spectrum of points of view and applications. It is particularly interesting reading the theoretical foundations underlying the concepts of cyberemotions and how these concepts can be captured, modeled and implemented in real-time applications.Catherine Pelachaud, Director of Research CNRS at LTCI, TELECOM ParisTechLogical machines give us a chance to analyze our often illogical behaviors, especially in the vast meadows of the cyberspace. In this important book, authors of different backgrounds present a wide and deep image, not only of methods of analyzing our emotional behavior online but also how the computers can help to break communicational wallsthe same technology had built.Rafal Rzepka, Professor, Hokkaido University

This textbook aims to briefly outline the main directions in which thegeometrization of thermodynamics has been developed in the last decades. The textbook is accessible to people trained in thermal sciences but notnecessarily with solid formation in mathematics.

Using the O.D.D. (Overview, Design concepts, Detail) protocol, this title explores the role of agent-based modeling in predicting the feasibility of various approaches to sustainability. The chapters incorporated in this volume consist of real case studies to illustrate the utility of agent-based modeling and complexity theory in discovering a path to more efficient and sustainable lifestyles. The topics covered within include: households' attitudes toward recycling, designing decision trees for representing sustainable behaviors, negotiation-based parking allocation, auction-based traffic signal control, and others.This selection of papers will be of interest to social scientists who wish to learn more about agent-based modeling as well as experts in the field of agent-based modeling.

The overall aim of this book, an outcome of the European FP7 FET Open NESS project, is to contribute to the ongoing effort to put the quantitative social sciences on a proper footing for the 21st century. A key focus is economics, and its implications on policy making, where the still dominant traditional approach increasingly struggles to capture the economic realities we observe in the world today - with vested interests getting too often in the way of real advances.Insights into behavioral economics and modern computing techniques have made possible both the integration of larger information sets and the exploration of disequilibrium behavior. The domain-based chapters of this work illustrate how economic theory is the only branch of social sciences which still holds to its old paradigm of an equilibrium science - an assumption that has already been relaxed in all related fields of research in the light of recent advances in complex and dynamical systems theory and relateddata mining.The other chapters give various takes on policy and decision making in this context. Written in nontechnical style throughout, with a mix of tutorial and essay-like contributions, this book will benefit all researchers, scientists, professionals and practitioners interested in learning about the 'thinking in complexity' to understand how socio-economic systems really work.

With an emphasis on controlled and constructive chaos, this concise primer for postgraduates skillfully leads the reader through the algorithms of chaos control, and then tackles synchronization in chaotic systems, stochastic resonance and ratchet models.

Wherever quantitative modeling and analysis of complex, nonlinear phenomena is required, chaos theory and its methods can play a key role. his fourth volume concentrates on reviewing further relevant contemporary applications of chaotic and nonlinear dynamics as they apply to the various cuttingedge branches of science and engineering.

The aim of this book is to advocate and promote network models of linguistic systems that are both based on thorough mathematical models and substantiated in terms of linguistics.