Bücher der Reihe Understanding Complex Systems

The analysis of recurrences in dynamical systems by using recurrence plots and their quantification is still an emerging field.

The roles and applications of various modeling approaches, aimed at improving the usefulness of energy policy models in public decision making, are covered by this book.

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.

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 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 book introduces and reviews recent advances inthe field in a comprehensive and non-technical way by focusing on the potentialof emerging citizen-science and social-computation frameworks, coupled with thelatest theoretical and modeling tools developed by physicists, mathematicians,computer and social scientists to analyse, interpret and visualize complex datasets.There is overwhelming evidence that the currentorganisation of our economies and societies is seriously damaging biologicalecosystems and human living conditions in the short term, with potentiallycatastrophic effects in the long term. The need to re-organise the dailyactivities with the greatest impact ¿ energy consumption, transport, housing ¿towards a more efficient and sustainable development model has recently beenraised in the public debate on several global, environmental issues. Above all,this requires the mismatch between global, societal and individual needs to beaddressed. Recent advances in Information and Communication Technologies (ICT)can trigger important transitions at the individual and collective level toachieve this aim.Based on the findings of the collaborative researchnetwork EveryAware the following developments among the emerging ICTtechnologies are discussed in depth in this volume:¿ Participatory sensing ¿ where ICT development ispushed to the level where it can supportinformed action at the hyperlocal scale, providing capabilities forenvironmental monitoring, data aggregation and mining, as well as informationpresentation and sharing.¿ Web gaming, social computing and internet-mediatedcollaboration ¿ where the Web will continue to acquire the status of aninfrastructure for social computing, allowing users¿ cognitive abilities to becoordinated in online communities, and steering the collective action towardspredefined goals.¿ Collective awareness and decision-making ¿ where theaccess to both personal and community data, collected by users, processed withsuitable analysis tools, and re-presented in an appropriate format by usablecommunication interfaces leads to a bottom-up development of collective socialstrategies.

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.

Special topics reflecting the active research in the field are the analysis and control of chimera states in classical networks and in quantum systems, the mathematical treatment of multiscale systems, the control of colloidal and quantum transport, the control of epidemics and of neural network dynamics.

Written from the physicist's perspective, this book introduces computational neuroscience with in-depth contributions by system neuroscientists. The computational implementation on supercomputers, discussed in detail, enables you to adapt the algorithm for your own research.

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 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.

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.

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.

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.

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.

The essays and lectures collected in this book center around knowledge transfer from the complex-system sciences to applications in business, industry and society, as viewed from a broad perspective.

Chaos and nonlinear dynamics initially developed as a new emergent field with its foundation in physics and applied mathematics. This second volume concentrates on reviewing further relevant, contemporary applications of chaotic nonlinear systems as they apply to the various cutting-edge branches of engineering.

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.

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 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.

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.

Nonlinear dynamics has become an important field of research in recent years in many areas of the natural sciences. This book focuses on the current trends of research concerning the prediction of sudden cardiac death and the onset of epileptic seizures, using the nonlinear analysis based on ECG and EEG data.

This book, edited and authored by a closely collaborating network of social scientists and psychologists, recasts typical research topics in these fields into the language of nonlinear, dynamic and complex systems.

However, based on simple models of social interactions, one can already gain some surprising insights into the social, ``macro-level'' outcomes and dynamics that is implied by individual, ``micro-level'' interactions.

A variety of new models and approaches are presented here, including Dynamic Network Analysis, DIME/PMESII models, percolation models and emergent models of insurgency.