000 03684nam a22005535i 4500
001 978-1-4614-7242-1
003 DE-He213
005 20140220082828.0
007 cr nn 008mamaa
008 130524s2013 xxu| s |||| 0|eng d
020 _a9781461472421
_9978-1-4614-7242-1
024 7 _a10.1007/978-1-4614-7242-1
_2doi
050 4 _aTA342-343
072 7 _aPBWH
_2bicssc
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
072 7 _aTEC009060
_2bisacsh
082 0 4 _a003.3
_223
100 1 _aBellomo, Nicola.
_eauthor.
245 1 0 _aComplex Systems and Society
_h[electronic resource] :
_bModeling and Simulation /
_cby Nicola Bellomo, Giulia Ajmone Marsan, Andrea Tosin.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2013.
300 _aXII, 90 p. 12 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Mathematics,
_x2191-8198
505 0 _a1. The Role of Individual Behaviors in Socio-Economic Sciences -- 2. Mathematical Tools for Modeling Social Complex Systems -- 3. Modeling Cooperation and Competition in Socio-Economic Systems -- 4. Welfare Policy: Applications and Simulations -- 5. Forward Look at Research Perspectives -- References.
520 _aThis work aims to foster the interdisciplinary dialogue between mathematicians and socio-economic scientists. Interaction among scholars and practitioners traditionally coming from different research areas is necessary more than ever in order to better understand many real-world problems we face today.   On the one hand, mathematicians need economists and social scientists to better address the methodologies they design in a more realistic way; on the other hand, economists and social scientists need to be aware of sound mathematical modelling tools in order to understand and, ultimately, solve the complex problems they encounter in their research.   With this goal in mind, this work is designed to take into account a multidisciplinary approach that will encourage the transfer of knowledge, ideas, and methodology from one discipline to the other. In particular, the work has three main themes:   Demystifying and unravelling complex systems; Introducing models of individual behaviours in the social and economic sciences; Modelling socio-economic sciences as complex living systems.   Specific tools examined in the work include a recently developed modelling approach using stochastic game theory within the framework of statistical mechanics and progressing up to modeling Darwinian evolution. Special attention is also devoted to social network theory as a fundamental instrument for the understanding of socio-economic systems.
650 0 _aMathematics.
650 0 _aEconomics, Mathematical.
650 0 _aSocial sciences.
650 1 4 _aMathematics.
650 2 4 _aMathematical Modeling and Industrial Mathematics.
650 2 4 _aGame Theory/Mathematical Methods.
650 2 4 _aComplex Systems.
650 2 4 _aSocial Sciences, general.
650 2 4 _aGame Theory, Economics, Social and Behav. Sciences.
650 2 4 _aApplications of Mathematics.
700 1 _aAjmone Marsan, Giulia.
_eauthor.
700 1 _aTosin, Andrea.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461472414
830 0 _aSpringerBriefs in Mathematics,
_x2191-8198
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-7242-1
912 _aZDB-2-SMA
999 _c95880
_d95880