LEADER 03826oam 2200577I 450 001 9910172241703321 005 20230207223900.0 010 $a1-134-71473-4 010 $a0-203-00391-8 010 $a0-203-15842-3 024 7 $a10.4324/9780203003916 035 $a(CKB)1000000000248718 035 $a(EBL)165044 035 $a(OCoLC)48138913 035 $a(SSID)ssj0000127307 035 $a(MiAaPQ)EBC165044 035 $a(Au-PeEL)EBL165044 035 $a(CaPaEBR)ebr5002865 035 $a(CaONFJC)MIL33474 035 $a(EXLCZ)991000000000248718 100 $a20180331d1998 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComplexity theory and the social sciences $ean introduction /$fDavid Byrne 205 $a1st edition 210 1$aLondon ;$aNew York :$cRoutledge,$d1998. 215 $a1 online resource (312 pages) 300 $aDescription based upon print version of record. 311 $a0-415-16296-3 311 $a0-415-16295-5 320 $aIncludes bibliographical references (p. 189-197) and index. 327 $aBook Cover; Title; Contents; Acknowledgements; Introduction; Understanding the complex; The reality of the complex: the complexity of the real; Complexity and the quantitative programme in social science; Analysing social complexity; Complex spaces: regions, cities and neighbourhoods in a complex world; The complex character of health and illness; Complexity, education and change; Complexity and policy: the limits to urban governance; Conclusion; Glossary; Notes; Bibliography; Inde 330 $aFor the past two decades, ?complexity? has informed a range of work across the social sciences. There are diverse schools of complexity thinking, and authors have used these ideas in a multiplicity of ways, from health inequalities to the organization of large scale firms. Some understand complexity as emergence from the rule-based interactions of simple agents and explore it through agent-based modelling. Others argue against such ?restricted complexity? and for the development of case-based narratives deploying a much wider set of approaches and techniques. Major social theorists have been reinterpreted through a complexity lens and the whole methodological programme of the social sciences has been recast in complexity terms.In four parts, this book seeks to establish ?the state of the art? of complexity-informed social science as it stands now, examining:the key issues in complexity theory the implications of complexity theory for social theory the methodology and methods of complexity theory complexity within disciplines and fields.It also points ways forward towards a complexity-informed social science for the twenty-first century, investigating the argument for a post-disciplinary, ?open? social science. Byrne and Callaghan consider how this might be developed as a programme of teaching and research within social science. This book will be particularly relevant for, and interesting to, students and scholars of social research methods, social theory, business and organization studies, health, education, urban studies and development studies. 606 $aSocial sciences$xMathematical models 606 $aChaotic behavior in systems 606 $aSocial sciences$xResearch 615 0$aSocial sciences$xMathematical models. 615 0$aChaotic behavior in systems. 615 0$aSocial sciences$xResearch. 676 $a300/.1/5118 700 $aByrne$b D. S$g(David S.),$f1947,$0894113 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910172241703321 996 $aComplexity theory and the social sciences$91997283 997 $aUNINA