Bøger i Understanding Complex Systems serien

This book is a systematic summary of some new advances in the area of nonlinear analysis and design in the frequency domain, focusing on the application oriented theory and methods based on the GFRF concept, which is mainly done by the author in the past 8 years.

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.

This book attempts to explain why and how humans behave much like atoms in some aspects of their collective lives. The authors then suggest ways that this knowledge could serve as the key to a dramatic leap forwards in social freedom in the real world.

The role of synchronization, desynchronization, and intermittent synchronization on cognition has been studied extensively by various authors, in particular by authors contributing to the present volume.

Emergence and complexity refer to the appearance of higher-level properties and behaviours of a system that obviously comes from the collective dynamics of that system's components.

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 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.

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.

Rather than focusing on complexity as often discussed in physics or computer science, this book examines more 'human' or socially oriented perspectives on complexity, taking account of the language and communication singularities of human agents in society.

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 book explores the modeling and implementation of self-architecturing systems. It examines the programmability and computational abilities of self-organization and presents core principles and best practices for the design and engineering of such systems.

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.

The paradigm of complexity is pervading both science and engineering, le- ing to the emergence of novel approaches oriented at the development of a systemic view of the phenomena under study;

This self-contained presentation by leading researchers provides a coherent introduction to the residual generator method of fault detection in non-linear systems, which meets the precision requirements of real-time diagnostics in complex industrial processes.

This book discusses model building and evaluation across disciplines, by means of an exact path integral for transferring information from observations to a model of the observed system. Offers examples in geosciences, nonlinear electrical circuits and more.

This book covers new methods of identifying ways to help complex systems recover from perturbations. Examples discussed include bacterial biofilms resisting detachment, savannahs recovering from fire, and Internet social networking sites overcoming vandalism.

Wherever quantitative modeling and analysis of complex, nonlinear phenomena is required, chaos theory and its methods can play a key role. This volume concentrates on reviewing the most relevant contemporary applications of chaotic nonlinear systems as they apply to the various cutting-edge branches of engineering.

In this book, the major ideas behind Organic Computing are delineated, together with a sparse sample of computational projects undertaken in this new field. Biological metaphors include evolution, neural networks, gene-regulatory networks, networks of brain modules, hormone system, insect swarms, and ant colonies.

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.

Gathering lectures by experts in nonlinear science, this book covers chaos gates, social networks, communication, sensors, lasers, molecular motors, biomedical anomalies, stochastic resonance, nano-oscillators for generating microwave signals and more.

The present work is meant as a reference to provide an organic and comprehensive view of the most relevant results in the exciting new field of Networks of Networks (NetoNets). From those seminal works, the awareness on the importance understanding Networks of Networks (NetoNets) has spread to the entire community of Complexity Science.

The present work investigates global politics and political implications of social science and management with the aid of the latest complexity and chaos theories. The authors provide the reader a detailed analysis on politics and its associated applications with the help of chaos theory, in a single edited volume.

Analysis of information transfer has found rapid adoption in neuroscience, where a highly dynamic transfer of information continuously runs on top of the brain's slowly-changing anatomical connectivity.

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.

This book provides a very concise introduction to evolution equations - i.e., of time-dependent differential equations, and a handbook on applications to differential equations on networks. Unlike many books it offers full proofs of mathematical statements.

The theme of "more is different" appears in a different way in the present v- ume, from the viewpoint of what we call "adaptive networks." Adaptive networks uniquely combine dynamics on a network with dynamical adaptive changes of the underlying network topology, and thus they link classes of mechanisms that were previously studied in isolation.

In May 2002 a number of about 20 scientists from various disciplines were invited by the Berlin-Brandenburg Academy of Sciences and Humanities to participate in an interdisciplinary workshop on structures and structure generating processes.

One of the major contemporary challenges in both physical and social sciences is modeling, analyzing, and understanding the self-organization, evolution, behavior, and eventual decay of complex dynamical systems ranging from cell assemblies to the human brain to animal societies.

The Second Law, a cornerstone of thermodynamics, governs the average direction of dissipative, non-equilibrium processes.

This monograph set presents a consistent and self-contained framework of stochastic dynamic systems with maximal possible completeness. This approach offers a possibility of both obtaining exact solutions to stochastic problems for a number of models of fluctuating parameters and constructing various asymptotic buildings.