000 04052nam a22005175i 4500
001 978-3-642-11546-2
003 DE-He213
005 20140220084531.0
007 cr nn 008mamaa
008 101113s2010 gw | s |||| 0|eng d
020 _a9783642115462
_9978-3-642-11546-2
024 7 _a10.1007/978-3-642-11546-2
_2doi
050 4 _aQA273.A1-274.9
050 4 _aQA274-274.9
072 7 _aPBT
_2bicssc
072 7 _aPBWL
_2bicssc
072 7 _aMAT029000
_2bisacsh
082 0 4 _a519.2
_223
100 1 _aHelbing, Dirk.
_eauthor.
245 1 0 _aQuantitative Sociodynamics
_h[electronic resource] :
_bStochastic Methods and Models of Social Interaction Processes /
_cby Dirk Helbing.
250 _a2.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2010.
300 _aXXIX, 333 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aand Summary -- Dynamic Decision Behavior -- Stochastic Methods and Non-linear Dynamics -- Master Equation in State Space -- Boltzmann-Like Equations -- Master Equation in Configuration Space -- The Fokker-Planck Equation -- Langevin Equations and Non-linear Dynamics -- Quantitative Models of Social Processes -- Problems and Terminology -- Decision Theoretical Specification of the Transition Rates -- Opinion Formation Models -- Social Fields and Social Forces -- Evolutionary Game Theory Game theory!evolutionary|bb -- Determination of the Model Parameters from Empirical Data Empirical experience|bb .
520 _aThis new edition of Quantitative Sociodynamics presents a general strategy for interdisciplinary model building and its application to a quantitative description of behavioral changes based on social interaction processes. Originally, the crucial methods for the modeling of complex systems (stochastic methods and nonlinear dynamics) were developed in physics and mathematics, but they have very often proven their explanatory power in chemistry, biology, economics and the social sciences as well. Quantitative Sociodynamics provides a unified and comprehensive overview of the different stochastic methods, their interrelations and properties. In addition, it introduces important concepts from nonlinear dynamics (e.g. synergetics, chaos theory). The applicability of these fascinating concepts to social phenomena is carefully discussed. By incorporating decision-theoretical approaches, a fundamental dynamic model is obtained, which opens new perspectives in the social sciences. It includes many established models as special cases, e.g. the logistic equation, the gravity model, some diffusion models, evolutionary game theory and social field theory. Moreover, it implies numerous new results and is relevant for various application areas, such as opinion formation, migration, the self-organization of behavioral conventions, and the behavior of customers and voters. Theoretical results are complemented and illustrated by numerous computer simulations. Quantitative Sociodynamics is relevant both for social scientists and natural scientists who are interested in the application of stochastic and synergetics concepts to interdisciplinary topics. 
650 0 _aMathematics.
650 0 _aDistribution (Probability theory).
650 0 _aOperations research.
650 0 _aSocial sciences.
650 1 4 _aMathematics.
650 2 4 _aProbability Theory and Stochastic Processes.
650 2 4 _aOperation Research/Decision Theory.
650 2 4 _aGame Theory, Economics, Social and Behav. Sciences.
650 2 4 _aSocio- and Econophysics, Population and Evolutionary Models.
650 2 4 _aSocial Sciences, general.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642115455
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-11546-2
912 _aZDB-2-PHA
999 _c111877
_d111877