04343nam 2200841 a 450 991082029770332120230120032948.01-282-45811-61-282-93635-2978661245811897866129363571-4008-3552-60-691-12702-610.1515/9781400835522(CKB)2550000000007548(EBL)483515(OCoLC)609855950(SSID)ssj0000358170(PQKBManifestationID)11238978(PQKBTitleCode)TC0000358170(PQKBWorkID)10359886(PQKB)10822760(OCoLC)760073369(MdBmJHUP)muse36471(DE-B1597)446845(OCoLC)979582034(DE-B1597)9781400835522(Au-PeEL)EBL483515(CaPaEBR)ebr10364762(CaONFJC)MIL293635(Au-PeEL)EBL4968597(CaONFJC)MIL245811(OCoLC)1027167370(PPN)170244393(FR-PaCSA)45003465(MiAaPQ)EBC483515(EXLCZ)99255000000000754820060822d2007 uy 0engur|n|---|||||txtccrComplex adaptive systems an introduction to computational models of social life /John H. Miller and Scott E. PageCourse BookPrinceton, N.J. Princeton University Pressc20071 online resource (284 p.)Princeton studies in complexityDescription based upon print version of record.0-691-13096-5 Includes bibliographical references (p. [255]-260) and index.pt. 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.This 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.Princeton studies in complexity.Social systemsMathematical modelsSocial sciencesMathematical modelsSociale relatiesgttComputermodellengttSocial systemsMathematical models.Social sciencesMathematical models.Sociale relaties.Computermodellen.300.1/51370.03bclMiller John H(John Howard),1959-1663172Page Scott E863453MiAaPQMiAaPQMiAaPQBOOK9910820297703321Complex adaptive systems4020277UNINA