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010   $a1-4614-7242-3
024 7 $a10.1007/978-1-4614-7242-1
035   $a(OCoLC)846847057
035   $a(MiFhGG)GVRL6YKG
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100   $a20130307d2013      uy             0
101 0 $aeng
135   $aurun|---uuuua
181   $ctxt
182   $cc
183   $acr
200 10$aComplex systems and society $emodeling and simulation /$fGiulia Ajmone Marsan, Nicola Bellomo, Andrea Tosin
205   $a1st ed. 2013.
210  1$aNew York :$cSpringer,$d2013.
215   $a1 online resource (xii, 90 pages) $cillustrations (some color)
225 1 $aSpringerBriefs in Mathematics,$x2191-8198
300   $a"ISSN: 2191-8198."
311   $a1-4614-7241-5 
320   $aIncludes bibliographic references.
327   $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.
330   $aThis work aims to foster the interdisciplinary dialogue between mathematicians and socio-economic scientists. Interaction among scholars and practitioners traditionally coming from different research areas is necessary more than ever in order to better understand many real-world problems we face today.   On the one hand, mathematicians need economists and social scientists to better address the methodologies they design in a more realistic way; on the other hand, economists and social scientists need to be aware of sound mathematical modelling tools in order to understand and, ultimately, solve the complex problems they encounter in their research.   With this goal in mind, this work is designed to take into account a multidisciplinary approach that will encourage the transfer of knowledge, ideas, and methodology from one discipline to the other. In particular, the work has three main themes:   Demystifying and unravelling complex systems; Introducing models of individual behaviours in the social and economic sciences; Modelling socio-economic sciences as complex living systems.   Specific tools examined in the work include a recently developed modelling approach using stochastic game theory within the framework of statistical mechanics and progressing up to modeling Darwinian evolution. Special attention is also devoted to social network theory as a fundamental instrument for the understanding of socio-economic systems.
410  0$aSpringerBriefs in mathematics.
606   $aSocial sciences$xMathematical models
606   $aEconomics$xMathematical models
606   $aSocial sciences$xComputer simulation
606   $aEconomics$xComputer simulation
615  0$aSocial sciences$xMathematical models.
615  0$aEconomics$xMathematical models.
615  0$aSocial sciences$xComputer simulation.
615  0$aEconomics$xComputer simulation.
676   $a300.151
700   $aBellomo$b Nicola$4aut$4http://id.loc.gov/vocabulary/relators/aut$031305
702   $aBellomo$b N.
702   $aTosin$b Andrea
801  0$bMiFhGG
801  1$bMiFhGG
906   $aBOOK
912   $a9910739411103321
996   $aComplex Systems and Society$93552850
997   $aUNINA