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21 Minai, Ali A Unifying Themes in Complex Systems IV I07562 2008 eBook  
22 Bertin, Eric A Concise Introduction to the Statistical Physics of Complex Systems I07446 2012 eBook  
23 Frederic Abergel (ed.) Econophysics of Agent-Based Models I07404 2014 eBook  
24 glattfelder, james Decoding Complexity I07312 2013 eBook  
25 Deffuant, Guillaume Viability and Resilience of Complex Systems I07171 2011 eBook  
26 Kachroo, Pushkin Pedestrian Dynamics I07155 2008 eBook  
27 Faggini, Marisa Coping with the Complexity of Economics I07154 2009 eBook  
28 Miritello, Giovanna Temporal Patterns of Communication in Social Networks I06996 2013 eBook  
29 Helbing, Dirk Social Self-Organization I06353 2012 eBook  
30 Sornette, Didier Critical Phenomena in Natural Sciences I06229 2006 eBook  
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TitleUnifying Themes in Complex Systems IV : Proceedings of the Fourth International Conference on Complex Systems
Author(s)Minai, Ali A;Bar-Yam, Yaneer
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2008.
DescriptionXXIV, 390 p : online resource
Abstract NoteIn June of 2002, over 500 professors, students and researchers met in Boston, Massachusetts for the Fourth International Conference on Complex Systems. The attendees represented a remarkably diverse collection of fields: biology, ecology, physics, engineering, computer science, economics, psychology and sociology, The goal of the conference was to encourage cross-fertilization between the many disciplines represented and to deepen understanding of the properties common to all complex systems. This volume contains 43 papers selected from the more than 200 presented at the conference. Topics include: cellular automata, neurology, evolution, computer science, network dynamics, and urban planning. About NECSI: 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, knowledge 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 hosts the International Conference on Complex Systems and publishes the NECSI Book Series in conjunction with Springer Publishers. ALI MINAI is an Affiliate of the New England Complex Systems Institute and an Associate Professor in the Department of Electrical and Computer Engineering and Computer Science at the University of Cincinnati. YANEER BAR-YAM is President and founder of the New England Complex Systems Institute. He is the author of Dynamics of Complex Systems and Making Things Work: Solving Complex Problems in a Complex World
ISBN,Price9783540738497
Keyword(s)1. ARTIFICIAL INTELLIGENCE 2. COMPLEX SYSTEMS 3. DECISION MAKING 4. DYNAMICAL SYSTEMS 5. EBOOK 6. EBOOK - SPRINGER 7. GAME THEORY 8. Game Theory, Economics, Social and Behav. Sciences 9. OPERATIONS RESEARCH 10. Operations Research/Decision Theory 11. STATISTICAL PHYSICS 12. Statistical Physics and Dynamical Systems
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22.     
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TitleA Concise Introduction to the Statistical Physics of Complex Systems
Author(s)Bertin, Eric
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2012.
DescriptionX, 77 p. 4 illus : online resource
Abstract NoteThis concise primer (based on lectures given at summer schools on complex systems and on a masters degree course in complex systems modeling) will provide graduate students and newcomers to the field with the basic knowledge of the concepts and methods of statistical physics and its potential for application to interdisciplinary topics. ??Indeed, in recent years, statistical physics has begun to attract the interest of a broad community of researchers in the field of complex system sciences, ranging from biology to the social sciences, economics and computer science. More generally, a growing number of graduate students and researchers feel the need to learn some basic concepts and questions originating in other disciplines without necessarily having to master all of the corresponding technicalities and jargon. Generally speaking, the goals of statistical physics may be summarized as follows: on the one hand to study systems composed of a large number of interacting ???entities???, and on the other to predict the macroscopic (or collective) behavior of the system considered from the microscopic laws ruling the dynamics of the individual ???entities???. These two goals are, to some extent, also shared by what is nowadays called ???complex systems science??? and for these reasons, systems studied in the framework of statistical physics may be considered as among the simplest examples of complex systems???allowing in addition a rather well developed mathematical treatment
ISBN,Price9783642239236
Keyword(s)1. Biological systems 2. COMPLEX SYSTEMS 3. COMPLEXITY 4. COMPUTATIONAL COMPLEXITY 5. DYNAMICAL SYSTEMS 6. EBOOK 7. EBOOK - SPRINGER 8. ECONOMIC THEORY 9. Economic Theory/Quantitative Economics/Mathematical Methods 10. GAME THEORY 11. Game Theory, Economics, Social and Behav. Sciences 12. STATISTICAL PHYSICS 13. Statistical Physics and Dynamical Systems 14. Systems biology
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23.     
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TitleEconophysics of Agent-Based Models
Author(s)Frederic Abergel (ed.);Hideaki Aoyama (ed.);Bikas K. Chakrabarti (ed.);Anirban Chakraborti (ed.);Ghosh, Asim
PublicationCham, Springer International Publishing, 2014.
DescriptionVIII, 302 p. 91 illus : online resource
Abstract NoteThe primary goal of this book is to present the research findings and conclusions of physicists, economists, mathematicians and financial engineers working in the field of "Econophysics" who have undertaken agent-based modelling, comparison with empirical studies and related investigations. Most standard economic models assume the existence of the representative agent, who is ???perfectly rational??? and applies the utility maximization principle when taking action. One reason for this is the desire to keep models mathematically tractable: no tools are available to economists for solving non-linear models of heterogeneous adaptive agents without explicit optimization. In contrast, multi-agent models, which originated from statistical physics considerations, allow us to go beyond the prototype theories of traditional economics involving the representative agent. This book is based on the Econophys-Kolkata VII Workshop, at which many such modelling efforts were presented. In the book, leading researchers in their fields report on their latest work, consider recent developments and review the contemporary literature
ISBN,Price9783319000237
Keyword(s)1. Business 2. Business and Management, general 3. Data-driven Science, Modeling and Theory Building 4. EBOOK 5. EBOOK - SPRINGER 6. ECONOMIC THEORY 7. Economic Theory/Quantitative Economics/Mathematical Methods 8. ECONOPHYSICS 9. GAME THEORY 10. Game Theory, Economics, Social and Behav. Sciences 11. Management science 12. Sociophysics
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24.     
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TitleDecoding Complexity : Uncovering Patterns in Economic Networks
Author(s)glattfelder, james
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2013.
DescriptionXVI, 228 p : online resource
Abstract NoteToday it appears that we understand more about the universe than about our interconnected socio-economic world. In order to uncover organizational structures and novel features in these systems, we present the first comprehensive complex systems analysis of real-world ownership networks. This effort lies at the interface between the realms of economics and the emerging field loosely referred to as complexity science. The structure of global economic power is reflected in the network of ownership ties of companies and the analysis of such ownership networks has possible implications for market competition and financial stability. Thus this work presents powerful new tools for the study of economic and corporate networks that are only just beginning to attract the attention of scholars
ISBN,Price9783642334245
Keyword(s)1. Applications of Graph Theory and Complex Networks 2. COMPLEX SYSTEMS 3. COMPLEXITY 4. COMPUTATIONAL COMPLEXITY 5. EBOOK 6. EBOOK - SPRINGER 7. ECONOMIC THEORY 8. Economic Theory/Quantitative Economics/Mathematical Methods 9. GAME THEORY 10. Game Theory, Economics, Social and Behav. Sciences 11. PHYSICS 12. SYSTEM THEORY
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25.     
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TitleViability and Resilience of Complex Systems : Concepts, Methods and Case Studies from Ecology and Society
Author(s)Deffuant, Guillaume;Gilbert, Nigel
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2011.
DescriptionXII, 224 p : online resource
Abstract NoteOne common characteristic of a complex system is its ability to withstand major disturbances and the capacity to rebuild itself. Understanding how such systems demonstrate resilience by absorbing or recovering from major external perturbations requires both quantitative foundations and a multidisciplinary view of the topic. This book demonstrates how new methods can be used to identify the actions favouring the recovery from perturbations on a variety of examples including the dynamics of bacterial biofilms, grassland savannahs, language competition and Internet social networking sites. The reader is taken through an introduction to the idea of resilience and viability and shown the mathematical basis of the techniques used to analyse systems. The idea of individual or agent-based modelling of complex systems is introduced and related to analytically tractable approximations of such models. A set of case studies illustrates the use of the techniques in real applications, and the final section describes how one can use new software tools for carrying out the necessary calculations. The book is intended for a general scientific audience of readers from the natural and social sciences, although it requires some mathematics to gain a full understanding of the more theoretical chapters. It is an essential point of reference for those interested in the practical application of the concepts of resilience and viability
ISBN,Price9783642204234
Keyword(s)1. COMPLEX SYSTEMS 2. COMPUTER SIMULATION 3. DYNAMICAL SYSTEMS 4. EBOOK 5. EBOOK - SPRINGER 6. ECOLOGY 7. Ecology?? 8. GAME THEORY 9. Game Theory, Economics, Social and Behav. Sciences 10. Methodology of the Social Sciences 11. Simulation and Modeling 12. SOCIAL SCIENCES 13. STATISTICAL PHYSICS 14. Statistical Physics and Dynamical Systems
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26.     
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TitlePedestrian Dynamics : Feedback Control of Crowd Evacuation
Author(s)Kachroo, Pushkin;Al-nasur, Sadeq J;Wadoo, Sabiha Amin;Shende, Apoorva
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2008.
DescriptionXIV, 246 p : online resource
Abstract NoteEffective evacuation of people from closed spaces is an extremely important topic, since it can save real lives in emergency situations that can be brought about by natural and human made disasters. Usually there are static maps posted at various places at buildings that illustrate routes that should be taken during emergencies. However, when disasters happen, some of these routes might not be valid because of structural problems due to the disaster itself and more importantly because of the distribution of congestion of people spread over the area. The average flow of traffic depends on the traffic density. Therefore, if all the people follow the same route, or follow a route without knowing the congestion situation, they can end up being part of the congestion which results in very low flow rate or worse a traffic jam. Hence it becomes extremely important to design evacuations that inform people how fast and in which direction to move based on real-time information obtained about the people distribution using various sensors. The sensors used can include cameras, infra red sensors etc., and the technology used to inform people about the desired movement can be communicated using light matrix, small speakers, and in the future using wireless PDAs. This book provides mathematical models of pedestrian movements that can be used specifically for designing feedback control laws for effective evacuation. The book also provides various feedback control laws to accomplish the effective evacuation. The book uses the hydrodynamic hyperbolic PDE macroscopic pedestrian models since they are amenable to feedback control design. The control designs are obtained through different nonlinear techniques including Lyapunov functional techniques, feedback linearization in the distributed model, and some discretized techniques
ISBN,Price9783540755616
Keyword(s)1. COMPLEX SYSTEMS 2. Control engineering 3. Control, Robotics, Mechatronics 4. DYNAMICAL SYSTEMS 5. DYNAMICS 6. EBOOK 7. EBOOK - SPRINGER 8. GAME THEORY 9. Game Theory, Economics, Social and Behav. Sciences 10. Mechatronics 11. ROBOTICS 12. STATISTICAL PHYSICS 13. Statistical Physics and Dynamical Systems 14. THERMODYNAMICS 15. VIBRATION 16. Vibration, Dynamical Systems, Control
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27.     
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TitleCoping with the Complexity of Economics
Author(s)Faggini, Marisa;Lux, Thomas
PublicationMilano, Springer Milan, 2009.
DescriptionXIV, 170 p : online resource
Abstract NoteThe purpose of the science of complexity is to provide, if not a unified approach, at least useful tools to tackling complex problems in various scientific domains. Generally, complexity is considered a fundamental challenge to the reductionist approach in science as a whole and to its ideas of certainty and randomness. The overall behaviour of a complex system is different from and more than the sum of its parts. The behaviour of non-linear complex systems depends on the interaction (often with retroactive effects) among its constituent parts and not so much (or not only) on the characteristics of these parts themselves; the sum of the behaviour of single parts does not necessarily provide us with an explanation of the aggregate behaviour of a system. All this is true for economic systems. These are based on the activities of single economic agents. Each individual can obtain only partial knowledge that is focussed around its "world" (local information) and react to external shocks in different ways (local rationality). The aim of this book is to provide an overview to recent developments in theory and empirical research that view economic systems as complex phenomena whose aggregate dynamics can often not be inferred from its microscopic (microeconomic) building blocks. The collection of papers represented in this volume is dedicated to the memory of Massimo Salzano, who has been a fervent and eloquent advocate of the complexity approach. The contributions have been presented at a conference held to celebrate Massimo???s 60th birthday (Ecople -Economics: From Tradition of Complexity, Capri, 2-4 June, 2006), one year before he unexpectedly passed away in 2007
ISBN,Price9788847010833
Keyword(s)1. BEHAVIORAL SCIENCES 2. COMPLEX SYSTEMS 3. DYNAMICAL SYSTEMS 4. EBOOK 5. EBOOK - SPRINGER 6. ECONOMICS 7. Economics, general 8. GAME THEORY 9. Game Theory, Economics, Social and Behav. Sciences 10. Management science 11. STATISTICAL PHYSICS 12. Statistical Physics and Dynamical Systems
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28.     
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TitleTemporal Patterns of Communication in Social Networks
Author(s)Miritello, Giovanna
PublicationCham, Springer International Publishing, 2013.
DescriptionXIV, 153 p : online resource
Abstract NoteThe main interest of this research has been in understanding and characterizing large networks of human interactions as continuously changing objects. In fact, although many real social networks are dynamic networks whose elements and properties continuously change over time, traditional approaches to social network analysis are essentially static, thus neglecting all temporal aspects. Specifically, we have investigated the role that temporal patterns of human interaction play in three main fields of social network analysis and data mining: characterization of time (or attention) allocation in social networks, prediction of link decay/persistence, and information spreading. In order to address this we analyzed large anonymized data sets of phone call communication traces over long periods of time. Access to these observations was granted by Telefonica Research, Spain. The findings that emerge from our research indicate that the observed heterogeneities and correlations of human temporal patterns of interaction significantly affect the traditional view of social networks, shifting from a very steady to a highly complex entity. Since structure and dynamics are tightly coupled, they cannot be disentangled in the analysis and modeling of human behavior, though traditional models seek to do so. Our results impact not only the way in which social network are traditionally characterized, but more importantly also the understanding and modeling phenomena such as group formation, spread of epidemics, and the dissemination of ideas, opinions and information
ISBN,Price9783319001104
Keyword(s)1. Applications of Graph Theory and Complex Networks 2. COMMUNICATION 3. Communication Studies 4. COMPLEX SYSTEMS 5. EBOOK 6. EBOOK - SPRINGER 7. GAME THEORY 8. Game Theory, Economics, Social and Behav. Sciences 9. MATHEMATICS 10. Mathematics in the Humanities and Social Sciences 11. PHYSICS 12. SOCIAL SCIENCES 13. SYSTEM THEORY
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29.     
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TitleSocial Self-Organization : Agent-Based Simulations and Experiments to Study Emergent Social Behavior
Author(s)Helbing, Dirk
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2012.
DescriptionXI, 341 p : online resource
Abstract NoteWhat are the principles that keep our society together? This question is even more difficult to answer than the long-standing question, what are the forces that keep our world together. However, the social challenges of humanity in the 21st century ranging from the financial crises to the impacts of globalization, require us to make fast progress in our understanding of how society works, and how our future can be managed in a resilient and sustainable way. This book can present only a few very first steps towards this ambitious goal. 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. Depending on the nature of these interactions, they may imply the spontaneous formation of social conventions or the birth of social cooperation, but also their sudden breakdown. This can end in deadly crowd disasters or tragedies of the commons (such as financial crises or environmental destruction). Furthermore, we demonstrate that classical modeling approaches (such as representative agent models) do not provide a sufficient understanding of the self-organization in social systems resulting from individual interactions. The consideration of randomness, spatial or network interdependencies, and nonlinear feedback effects turns out to be crucial to get fundamental insights into how social patterns and dynamics emerge. Given the explanation of sometimes counter-intuitive phenomena resulting from these features and their combination, our evolutionary modeling approach appears to be powerful and insightful. The chapters of this book range from a discussion of the modeling strategy for socio-economic systems over experimental issues up the right way of doing agent-based modeling.?? We furthermore discuss applications ranging from pedestrian and crowd dynamics over opinion formation, coordination, and cooperation up to conflict, and also address the response to information, issues of systemic risks in society and economics, and new approaches to manage complexity in socio-economic systems. Parts of this book were previously published in peer reviewed journals
ISBN,Price9783642240041
Keyword(s)1. COMPLEX SYSTEMS 2. DYNAMICAL SYSTEMS 3. EBOOK 4. EBOOK - SPRINGER 5. GAME THEORY 6. Game Theory, Economics, Social and Behav. Sciences 7. Numerical and Computational Physics, Simulation 8. PHYSICS 9. Sociology 10. Sociology, general 11. STATISTICAL PHYSICS 12. Statistical Physics and Dynamical Systems 13. Statistics for Social Sciences, Humanities, Law 14. Statistics??
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30.    
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TitleCritical Phenomena in Natural Sciences : Chaos, Fractals, Selforganization and Disorder: Concepts and Tools
Author(s)Sornette, Didier
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2006.
DescriptionXXII, 528 p : online resource
Abstract NoteConcepts, methods and techniques of statistical physics in the study of correlated, as well as uncorrelated, phenomena are being applied ever increasingly in the natural sciences, biology and economics in an attempt to understand and model the large variability and risks of phenomena. This is the first textbook written by a well-known expert that provides a modern up-to-date introduction for workers outside statistical physics. The emphasis of the book is on a clear understanding of concepts and methods, while it also provides the tools that can be of immediate use in applications. Although this book evolved out of a course for graduate students, it will be of great interest to researchers and engineers, as well as to post-docs in geophysics and meteorology
ISBN,Price9783540331827
Keyword(s)1. COMPLEX SYSTEMS 2. DYNAMICAL SYSTEMS 3. EARTH SCIENCES 4. Earth Sciences, general 5. EBOOK 6. EBOOK - SPRINGER 7. GAME THEORY 8. Game Theory, Economics, Social and Behav. Sciences 9. STATISTICAL PHYSICS 10. Statistical Physics and Dynamical Systems
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