000 04431nam a22005415i 4500
001 978-0-8176-4946-3
003 DE-He213
005 20251006084439.0
007 cr nn 008mamaa
008 100812s2010 xxu| s |||| 0|eng d
020 _a9780817649463
020 _a99780817649463
024 7 _a10.1007/978-0-8176-4946-3
_2doi
082 0 4 _a003.3
_223
100 1 _aNaldi, Giovanni.
_eeditor.
245 1 0 _aMathematical Modeling of Collective Behavior in Socio-Economic and Life Sciences
_h[electronic resource] /
_cedited by Giovanni Naldi, Lorenzo Pareschi, Giuseppe Toscani.
264 1 _aBoston :
_bBirkhäuser Boston,
_c2010.
300 _aX, 438p. 98 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aModeling and Simulation in Science, Engineering and Technology
505 0 _aEconomic modelling and financial markets -- Agent-based models of economic interactions -- On kinetic asset exchange models and beyond: microeconomic formulation,trade network, and all that -- Microscopic and kinetic models in financial markets -- A mathematical theory for wealth distribution -- Tolstoy's dream and the quest for statistical equilibrium in economics and the social sciences -- Social modelling and opinion formation -- New perspectives in the equilibrium statistical mechanics approach to social and economic sciences -- Kinetic modelling of complex socio-economic systems -- Mathematics and physics applications in sociodynamics simulation: the case of opinion formation and diffusion -- Global dynamics in adaptive models of collective choice with social influence -- Modelling opinion formation by means of kinetic equations -- Human behavior and swarming -- On the modelling of vehicular traffic and crowds by kinetic theory of active particles -- Particle, kinetic, and hydrodynamic models of swarming -- Modeling self-organization in pedestrians and animal groups from macroscopic and microscopic viewpoints -- Statistical physics and modern human warfare -- Diffusive and nondiffusive population models.
520 _aMathematical modeling using dynamical systems and partial differential equations is now playing an increasing role in the understanding of complex multi-scale phenomena. Behavior in seemingly different areas such as sociology, economics, and the life sciences can be described by closely related models. Systems made out of a large enough number of individual members can be said to exhibit a collective behavior, from which insight can be gathered in a way that real-life experiments cannot. Using examples from financial markets and modern warfare to the flocking of birds and the swarming of bacteria, the collected research in this volume demonstrates the common methodological approaches and tools for modeling and simulating collective behavior. Specific topics covered include: * analysis of wealth distributions * dynamics of price formation * spreading of opinions * models of social behavior * population dynamics * aggregation and swarming The topics presented point toward new and challenging frontiers of applied mathematics, making the volume a useful reference text for applied mathematicians, physicists, biologists, and economists involved in the modeling of socio-economic systems.
650 0 _aMATHEMATICS.
650 0 _aDIFFERENTIAL EQUATIONS, PARTIAL.
650 0 _aBIOLOGY
_xMATHEMATICS.
650 0 _aFINANCE.
650 0 _aECONOMICS, MATHEMATICAL.
650 1 4 _aMATHEMATICS.
650 2 4 _aMATHEMATICAL MODELING AND INDUSTRIAL MATHEMATICS.
650 2 4 _aSTATISTICAL PHYSICS, DYNAMICAL SYSTEMS AND COMPLEXITY.
650 2 4 _aPARTIAL DIFFERENTIAL EQUATIONS.
650 2 4 _aMATHEMATICAL BIOLOGY IN GENERAL.
650 2 4 _aQUANTITATIVE FINANCE.
650 2 4 _aGAME THEORY/MATHEMATICAL METHODS.
700 1 _aPareschi, Lorenzo.
_eeditor.
700 1 _aToscani, Giuseppe.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780817649456
830 0 _aModeling and Simulation in Science, Engineering and Technology
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-8176-4946-3
_zVer el texto completo en las instalaciones del CICY
912 _aZDB-2-SMA
942 _2ddc
_cER
999 _c59829
_d59829