LEADER 04343nam 2200841 a 450 001 9910820297703321 005 20230120032948.0 010 $a1-282-45811-6 010 $a1-282-93635-2 010 $a9786612458118 010 $a9786612936357 010 $a1-4008-3552-6 010 $a0-691-12702-6 024 7 $a10.1515/9781400835522 035 $a(CKB)2550000000007548 035 $a(EBL)483515 035 $a(OCoLC)609855950 035 $a(SSID)ssj0000358170 035 $a(PQKBManifestationID)11238978 035 $a(PQKBTitleCode)TC0000358170 035 $a(PQKBWorkID)10359886 035 $a(PQKB)10822760 035 $a(OCoLC)760073369 035 $a(MdBmJHUP)muse36471 035 $a(DE-B1597)446845 035 $a(OCoLC)979582034 035 $a(DE-B1597)9781400835522 035 $a(Au-PeEL)EBL483515 035 $a(CaPaEBR)ebr10364762 035 $a(CaONFJC)MIL293635 035 $a(Au-PeEL)EBL4968597 035 $a(CaONFJC)MIL245811 035 $a(OCoLC)1027167370 035 $a(PPN)170244393 035 $a(FR-PaCSA)45003465 035 $a(MiAaPQ)EBC483515 035 $a(EXLCZ)992550000000007548 100 $a20060822d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aComplex adaptive systems $ean introduction to computational models of social life /$fJohn H. Miller and Scott E. Page 205 $aCourse Book 210 $aPrinceton, N.J. $cPrinceton University Press$dc2007 215 $a1 online resource (284 p.) 225 1 $aPrinceton studies in complexity 300 $aDescription based upon print version of record. 311 $a0-691-13096-5 320 $aIncludes bibliographical references (p. [255]-260) and index. 327 $apt. 1. INTRODUCTION. Introduction -- Complexity in social worlds -- pt. 2. PRELIMINARIES. Modeling -- On emergence -- pt. 3. COMPUTATIONAL MODELING. Computation as theory -- Why agent-based objects? -- pt. 4. MODELS OF COMPLEX ADAPTIVE SOCIAL SYSTEMS. A basic framework -- Complex adaptive social systems in one dimension -- Social dynamics -- Evolving automata -- Some fundamentals of organizational decision making -- pt. 5. CONCLUSIONS. Social science in between -- Epilogue -- Appendixes. A. An open agenda for complex adaptive social systems -- B. Practices for computational modeling. 330 $aThis book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the field's leading authorities. Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents. John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended. 410 0$aPrinceton studies in complexity. 606 $aSocial systems$xMathematical models 606 $aSocial sciences$xMathematical models 606 $aSociale relaties$2gtt 606 $aComputermodellen$2gtt 615 0$aSocial systems$xMathematical models. 615 0$aSocial sciences$xMathematical models. 615 17$aSociale relaties. 615 17$aComputermodellen. 676 $a300.1/513 686 $a70.03$2bcl 700 $aMiller$b John H$g(John Howard),$f1959-$01663172 701 $aPage$b Scott E$0863453 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910820297703321 996 $aComplex adaptive systems$94020277 997 $aUNINA