000 03901nam a22005295i 4500
001 978-3-642-20423-4
003 DE-He213
005 20140220083801.0
007 cr nn 008mamaa
008 110801s2011 gw | s |||| 0|eng d
020 _a9783642204234
_9978-3-642-20423-4
024 7 _a10.1007/978-3-642-20423-4
_2doi
050 4 _aH61-61.95
072 7 _aJHBC
_2bicssc
072 7 _aSOC019000
_2bisacsh
082 0 4 _a300.1
_223
100 1 _aDeffuant, Guillaume.
_eeditor.
245 1 0 _aViability and Resilience of Complex Systems
_h[electronic resource] :
_bConcepts, Methods and Case Studies from Ecology and Society /
_cedited by Guillaume Deffuant, Nigel Gilbert.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2011.
300 _aXII, 224 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aUnderstanding Complex Systems,
_x1860-0832
505 0 _aPreface -- 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.
520 _aOne 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
650 0 _aSocial sciences.
650 0 _aComputer simulation.
650 0 _aEcology.
650 0 _aMathematics.
650 0 _aSocial sciences
_xMethodology.
650 1 4 _aSocial Sciences.
650 2 4 _aMethodology of the Social Sciences.
650 2 4 _aEcology.
650 2 4 _aStatistical Physics, Dynamical Systems and Complexity.
650 2 4 _aSimulation and Modeling.
650 2 4 _aGame Theory, Economics, Social and Behav. Sciences.
700 1 _aGilbert, Nigel.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642204227
830 0 _aUnderstanding Complex Systems,
_x1860-0832
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-20423-4
912 _aZDB-2-PHA
999 _c107783
_d107783