MARC record from Internet Archive

LEADER: 06193cam 2200841 a 4500
001 ocn793418313
003 OCoLC
005 20220812145615.0
008 120511s2012 gw ob 001 0 eng d
006 m o d
007 cr cnu---unuuu
040 $aGW5XE$beng$epn$cGW5XE$dZMC$dCOO$dOCLCQ$dE7B$dMEAUC$dOCLCO$dBEDGE$dYDXCP$dOCLCQ$dEBLCP$dTXI$dVT2$dOCLCF$dOCLCQ$dESU$dOCLCQ$dIOG$dCEF$dU3W$dWYU$dYOU$dTKN$dLEAUB$dAU@$dOL$$dOCLCQ$dAJS$dDCT$dOCLCQ$dOCLCO$dOCLCQ$dOCLCO
019 $a843014131$a857261463$a942618623$a1110797808$a1204062412
020 $a9783642240041$q(electronic bk.)
020 $a3642240046$q(electronic bk.)
020 $a3642240038$q(print)
020 $a9783642240034$q(print)
020 $z9783642240034
024 7 $a10.1007/978-3-642-24004-1$2doi
035 $a(OCoLC)793418313$z(OCoLC)843014131$z(OCoLC)857261463$z(OCoLC)942618623$z(OCoLC)1110797808$z(OCoLC)1204062412
037 $bSpringer
050 4 $aHM706$b.S63 2012
072 7 $aPHS$2bicssc
072 7 $aPHDT$2bicssc
072 7 $aSCI055000$2bisacsh
082 04 $a301$223
245 00 $aSocial self-organization :$bagent-based simulations and experiments to study emergent social behavior /$cDirk Helbing, editor.
260 $aBerlin ;$aNew York :$bSpringer,$c©2012.
300 $a1 online resource (xi, 340 pages)
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $atext file
347 $bPDF
490 1 $aUnderstanding complex systems,$x1860-0832
490 1 $aSpringer complexity
504 $aIncludes bibliographical references and index.
505 00 $tIntroduction --$tPrerequisites from Applied Geometry and Spline Theory --$tMathematical Modelling and Finite Element Analysis --$tIsogeometric Analysis --$tLocal Refinement for Isogeometric Analysis --$tConclusions.
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, m̀̀acro-level'' outcomes and dynamics that is implied by individual, m̀̀icro-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.
650 0 $aSocial structure$xMathematical models.
650 0 $aSocial structure$xComputer simulation.
650 6 $aStructure sociale$xModèles mathématiques.
650 6 $aStructure sociale$xSimulation par ordinateur.
650 7 $aPhysique.$2eclas
650 7 $aAstronomie.$2eclas
650 7 $aSocial structure$xMathematical models.$2fast$0(OCoLC)fst01123379
653 4 $aMathematics.
653 4 $aStatistics.
653 4 $aStatistical Physics, Dynamical Systems and Complexity.
653 4 $aSociology, general.
653 4 $aStatistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
653 4 $aGame Theory, Economics, Social and Behav. Sciences.
655 4 $aElectronic books.
700 1 $aHelbing, Dirk.
776 08 $iPrinted edition:$z9783642240034
830 0 $aUnderstanding complex systems.
830 0 $aSpringer complexity.
856 40 $3ebrary$uhttp://site.ebrary.com/id/10651688
856 40 $3ProQuest Ebook Central$uhttps://public.ebookcentral.proquest.com/choice/publicfullrecord.aspx?p=3070158
856 40 $3Scholars Portal$uhttp://books.scholarsportal.info/viewdoc.html?id=/ebooks/ebooks2/springer/2012-05-29/2/9783642240041
856 40 $3SpringerLink$uhttps://doi.org/10.1007/978-3-642-24004-1
856 40 $3SpringerLink$uhttps://link.springer.com/book/10.1007%2F978-3-642-24003-4
856 40 $3SpringerLink$uhttps://link.springer.com/book/10.1007%2F978-3-642-24004-1
856 40 $3SpringerLink$uhttp://dx.doi.org.ezproxy.aub.edu.lb/10.1007/978-3-642-24004-1$zClick for electronic access to e-book$zClick for electronic access to e-book (off-campus access)
856 40 $uhttp://rd.springer.com/openurl?genre=book&isbn=978-3-642-24003-4
938 $aProQuest Ebook Central$bEBLB$nEBL3070158
938 $aebrary$bEBRY$nebr10651688
938 $aYBP Library Services$bYANK$n7664601
029 1 $aAU@$b000049659528
029 1 $aNLGGC$b384141897
029 1 $aNZ1$b14537485
994 $aZ0$bIME
948 $hNO HOLDINGS IN IME - 322 OTHER HOLDINGS