LEADER 03773nam 2200649Ia 450 001 9910141334103321 005 20240516131002.0 010 $a1-119-94163-6 010 $a1-280-59151-X 010 $a9786613621344 010 $a1-119-95420-7 010 $a1-119-95419-3 035 $a(CKB)2670000000155562 035 $a(EBL)866455 035 $a(OCoLC)779165222 035 $a(SSID)ssj0000611291 035 $a(PQKBManifestationID)11445076 035 $a(PQKBTitleCode)TC0000611291 035 $a(PQKBWorkID)10644957 035 $a(PQKB)11334310 035 $a(MiAaPQ)EBC866455 035 $a(Au-PeEL)EBL866455 035 $a(CaPaEBR)ebr10538628 035 $a(CaONFJC)MIL362134 035 $a(EXLCZ)992670000000155562 100 $a20111121d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAgent-based computational sociology /$fFlaminio Squazzoni 205 $a1st ed. 210 $aChichester, West Sussex $cWiley & Sons$d2012 215 $a1 online resource (258 p.) 300 $aDescription based upon print version of record. 311 $a0-470-71174-4 320 $aIncludes bibliographical references and index. 327 $aAgent-Based Computational Sociology; Contents; Preface; 1 What is agent-based computational sociology all about?; 1.1 Predecessors and fathers; 1.2 The main ideas of agent-based computational sociology; 1.2.1 The primacy of models; 1.2.2 The generative approach; 1.2.3 The micro-macro link; 1.2.4 Process and change; 1.2.5 The unexcluded middle; 1.2.6 Trans-disciplinarity; 1.3 What are ABMs?; 1.4 A classification of ABM use in social research; References; 2 Cooperation, coordination and social norms; 2.1 Direct reciprocity and the persistence of interaction 327 $a2.2 Strong reciprocity and social sanctions2.3 Disproportionate prior exposure; 2.4 Partner selection; 2.5 Reputation; 2.6 The emergence of conventions; References; 3 Social influence; 3.1 Segregation dynamics; 3.2 Threshold behavior and opinions; 3.3 Culture dynamics and diversity; 3.4 Social reflexivity; References; 4 The methodology; 4.1 The method; 4.2 Replication; 4.2.1 The querelle about segregation; 4.2.2 The querelle about trust and mobility; 4.3 Multi-level empirical validation; References; 5 Conclusions; References; Appendix A; A.1 Research centers; A.2 Scientific associations 327 $aA.3 JournalsA.4 Simulation tools; References; Appendix B; B.1 Example I: Partner selection and dynamic networks (Boero, Bravo and Squazzoni 2010); B.2 Example II: Reputation (Boero et al. 2010); References; Index 330 $a Most of the intriguing social phenomena of our time, such as international terrorism, social inequality, and urban ethnic segregation, are consequences of complex forms of agent interaction that are difficult to observe methodically and experimentally. This book looks at a new research stream that makes use of advanced computer simulation modelling techniques to spotlight agent interaction that allows us to explain the emergence of social patterns. It presents a method to pursue analytical sociology investigations that look at relevant social mechanisms in various empirical situations, such 606 $aComputer simulation 606 $aSocial interaction 606 $aSociology$xResearch$xMethodology 615 0$aComputer simulation. 615 0$aSocial interaction. 615 0$aSociology$xResearch$xMethodology. 676 $a301.01 700 $aSquazzoni$b Flaminio$0472158 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910141334103321 996 $aAgent-based computational sociology$9835658 997 $aUNINA