Bøger i Understanding Complex Systems serien

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 related data 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.

This edited volume presents chapters on the dynamics of global climate change and global warming in the Middle East. The audience for this volume includes policy makers, researchers, and students unified by the common goal of making better decisions in the sustainable production and consumption of energy.

It provides a unified view of nonlinear properties in many different systems and highlights many new developments.While volume 1 concentrates on mathematical theory and computational techniques and challenges, which are essential for the study of nonlinear science, this second volume deals with nonlinear excitations in several fields.

Title is included in the Springer Complexity programme.

This book presents the latest tools, techniques, and solutions that decision makers use to overcome the challenges faced by their sustainable supply chains.

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.

This book gives the definitive mathematical answer to what thermodynamics really is: a variational calculus applied to probability distributions. Extending Gibbs's notion of ensemble, the Author imagines the ensemble of all possible probability distributions and assigns probabilities to them by selection rules that are fairly general. The calculus of the most probable distribution in the ensemble produces the entire network of mathematical relationships we recognize as thermodynamics. The first part of the book develops the theory for discrete and continuous distributions while the second part applies this thermodynamic calculus to problems in population balance theory and shows how the emergence of a giant component in aggregation, and the shattering transition in fragmentation may be treated as formal phase transitions.While the book is intended as a research monograph, the material is self-contained and the style sufficiently tutorial to be accessible for self-paced study by an advanced graduate student in such fields as physics, chemistry, and engineering.

This book presents the latest tools, techniques, and solutions that decision makers use to overcome the challenges faced by their sustainable supply chains.

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

This text introduces SKIN (Simulation Knowledge Dynamics in Innovation Networks), an agent-based simulation model that primarily focuses on joint knowledge creation and exchange of knowledge in innovation co-operations and 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.

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 book provides a general overview of several concepts of synchronization and brings together related approaches to secure communication in chaotic systems.

Our contemporary understanding of brain function is deeply rooted in the ideas of the nonlinear dynamics of distributed networks. The second part introduces the currently available non-invasive technologies for measuring structural and functional connectivity in the brain.

Models of Science Dynamics aims to capture the structure and evolution of science, the emerging arena in which scholars, science and the communication of science become themselves the basic objects of research.

In the applications part a number of representative examples of really using CA in a broad range of disciplines is provided - this part will give the reader a good idea of the real strength of this kind of modeling as well as the incentive to apply CA in their own field of study.

This book is a collection of papers contributed by some of the greatest names in the areas of chaos and nonlinear dynamics.

The concept is explored in depth, as are the ethical and legal implications of our understanding of free will.This book arises out of a workshop held in California in April of 2007, which was chaired by Dr. Christof Koch.

This book, the outcome of a workshop meeting within ESM 2006, explores the use of emergent computing and self-organization modeling within various applications of complex systems.

This book, the outcome of a workshop meeting within ESM 2006, explores the use of emergent computing and self-organization modeling within various applications of complex systems.

This book offers an analytical framework based on activity theory, showing how systems thinking evolves and how it can support multidisciplinary teamwork in systems development and engineering. Explores WAVES (Work Activity for Evolution of Systems) strategy.

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

Understanding Complex Urban Systems: Multidisciplinary Approaches to Modeling

Mathematics provides the tools and ideas to formulate real-life problems mathematically and then help in solving them. This book deals with several different problems arising from many disciplines and offers some modern mathematical approaches to handle them.

Bringing together over fifty contributions on all aspects of nonlinear and complex dynamics, this impressive topical collection is both a scientific and personal tribute, on the occasion of his 70th birthday, by many outstanding colleagues in the broad fields of research pursued by Prof.

Bringing together over fifty contributions on all aspects of nonlinear and complex dynamics, this impressive topical collection is both a scientific and personal tribute, on the occasion of his 70th birthday, by many outstanding colleagues in the broad fields of research pursued by Prof.

Building on the familiar "butterfly effect," this book examines the causes of emergent phenomena in real world settings, and their often negative impacts. Covers distributed innovation management, and leadership choices that can tame the innovation butterfly.

This title is included in the Springer Complexity Program.

Models of Science Dynamics aims to capture the structure and evolution of science, the emerging arena in which scholars, science and the communication of science become themselves the basic objects of research.

This volume introduces new approaches to modeling strongly nonlinear behaviour of structural mechanical units: beams, plates and shells or composite systems. The text draws on bifurcation theory and chaos, emphasizing control and stability of objects and systems.