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03945nam a22005415i 4500 |
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978-3-642-20423-4 |
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DE-He213 |
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20151030021502.0 |
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cr nn 008mamaa |
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110801s2011 gw | s |||| 0|eng d |
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|a 9783642204234
|9 978-3-642-20423-4
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|a 10.1007/978-3-642-20423-4
|2 doi
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|a H61-61.95
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|a SOC019000
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|a 300.1
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|a Viability and Resilience of Complex Systems
|h [electronic resource] :
|b Concepts, Methods and Case Studies from Ecology and Society /
|c edited by Guillaume Deffuant, Nigel Gilbert.
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| 264 |
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1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2011.
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| 300 |
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|a XII, 224 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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| 490 |
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|a Understanding Complex Systems,
|x 1860-0832
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| 505 |
0 |
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|a Preface -- Part I Concepts -- What is Resilience? A Short Introduction -- Defining Resilience Mathematically: From Attractors to Viability -- Part II Case Studies -- Viability and Resilience in the Dynamics of Language Competition -- Viable Web Communities:Two Case Studies -- Computational Savanna Models and Viability Based Resilience -- Viability and Resilience of a Bacterial Biofilm Individual-Based Model -- Part III Tools and Techniques -- Approximating Viability Kernels and Resilience Values with KAVIAR -- Geometric Robustness of Viability Kernels and Resilience Basins.
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| 520 |
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|a One 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.
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| 650 |
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|a Social sciences.
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| 650 |
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|a Computer simulation.
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| 650 |
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|a Ecology.
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| 650 |
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|a Game theory.
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| 650 |
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|a Statistical physics.
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| 650 |
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|a Dynamical systems.
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| 650 |
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|a Social Sciences.
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| 650 |
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4 |
|a Methodology of the Social Sciences.
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| 650 |
2 |
4 |
|a Ecology.
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| 650 |
2 |
4 |
|a Statistical Physics, Dynamical Systems and Complexity.
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| 650 |
2 |
4 |
|a Simulation and Modeling.
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| 650 |
2 |
4 |
|a Game Theory, Economics, Social and Behav. Sciences.
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| 700 |
1 |
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|a Deffuant, Guillaume.
|e editor.
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| 700 |
1 |
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|a Gilbert, Nigel.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9783642204227
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| 830 |
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|a Understanding Complex Systems,
|x 1860-0832
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-642-20423-4
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-PHA
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| 950 |
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|a Physics and Astronomy (Springer-11651)
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