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008 150903s2012 gw | o |||| 0|eng d
020 _a9783642240041
_99783642240041
024 7 _a10.1007/9783642240041
_2doi
035 _avtls000357914
039 9 _a201509030527
_bVLOAD
_c201405070223
_dVLOAD
_y201402191510
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQC174.7-175.36
100 1 _aHelbing, Dirk.
_eeditor.
_9339959
245 1 0 _aSocial Self-Organization :
_bAgent-Based Simulations and Experiments to Study Emergent Social Behavior /
_cedited by Dirk Helbing.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2012.
300 _axI, 340 páginas 113 ilustraciones, 71 ilustraciones en color.
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aUnderstanding Complex Systems,
_x1860-0832
500 _aSpringer eBooks
505 0 _aModeling of Socio-Economic Systems -- Agent-based modeling -- Self-Organization in Pedestrian Crowds -- Opinion Formation -- Spatial Self-Organization through Success-Driven Mobility -- Cooperation in Social Dilemmas -- Co-Evolution of Social Behavior and Spatial Organization -- Evolution of Moral Behavior -- Coordination and Competitive Innovation Spreading in Social Networks -- Heterogeneous Populations: Coexistence, Integration, or Conflict -- Social Experiments and Computers -- Learning of Coordinated Behavior -- Response to Information -- Systemic Risks in Society and Economics -- Managing Complexity -- Challenges in Economics.
520 _aWhat are the principles that keep our society together? This question is even more difficult to answer than the long-standing question, what are the forces that keep our world together. However, the social challenges of humanity in the 21st century ranging from the financial crises to the impacts of globalization, require us to make fast progress in our understanding of how society works, and how our future can be managed in a resilient and sustainable way. This book can present only a few very first steps towards this ambitious goal. However, based on simple models of social interactions, one can already gain some surprising insights into the social, ``macro-level'' outcomes and dynamics that is implied by individual, ``micro-level'' interactions. Depending on the nature of these interactions, they may imply the spontaneous formation of social conventions or the birth of social cooperation, but also their sudden breakdown. This can end in deadly crowd disasters or tragedies of the commons (such as financial crises or environmental destruction). Furthermore, we demonstrate that classical modeling approaches (such as representative agent models) do not provide a sufficient understanding of the self-organization in social systems resulting from individual interactions. The consideration of randomness, spatial or network interdependencies, and nonlinear feedback effects turns out to be crucial to get fundamental insights into how social patterns and dynamics emerge. Given the explanation of sometimes counter-intuitive phenomena resulting from these features and their combination, our evolutionary modeling approach appears to be powerful and insightful. The chapters of this book range from a discussion of the modeling strategy for socio-economic systems over experimental issues up the right way of doing agent-based modeling.  We furthermore discuss applications ranging from pedestrian and crowd dynamics over opinion formation, coordination, and cooperation up to conflict, and also address the response to information, issues of systemic risks in society and economics, and new approaches to manage complexity in socio-economic systems. Parts of this book were previously published in peer reviewed journals.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783642240034
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-24004-1
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c303666
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