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010   $a1-135-36730-2
010   $a1-135-36731-0
010   $a1-280-30931-8
010   $a9786610309313
010   $a0-203-99369-1
024 7 $a10.4324/9780203993699 
035   $a(CKB)1000000000336792
035   $a(EBL)254504
035   $a(OCoLC)475969274
035   $a(SSID)ssj0000106163
035   $a(PQKBManifestationID)11124822
035   $a(PQKBTitleCode)TC0000106163
035   $a(PQKBWorkID)10106789
035   $a(PQKB)11052028
035   $a(MiAaPQ)EBC254504
035   $a(OCoLC)252764569
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/29918
035   $a(MiAaPQ)EBC7245410
035   $a(Au-PeEL)EBL7245410
035   $a(OCoLC)1378937257
035   $a(EXLCZ)991000000000336792
100   $a20180331d1995      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 00$aArtificial societies $ethe computer simulation of social life /$fedited by Nigel Gilbert & Rosaria Conte
210   $cTaylor & Francis$d1995
210  1$aLondon :$cUCL Press,$d1995.
215   $a1 online resource (270 p.)
300   $aDescription based upon print version of record.
311   $a1-138-96392-5 
311   $a1-85728-305-8 
320   $aIncludes bibliographical references and index.
327   $aBook Cover; Book Title; Title; Copyright; Contents; Preface; Notes on contributors; Chapter 1 Introduction; Chapter 2 A model of the emergence of new political actors; Chapter 3 Division of labour and social co-ordination modes: a simple simulation model; Chapter 4 Emergence of kinship structures: a multi-agent approach; Chapter 5 Cities can be agents too: a model for the evolution of settlement systems; Chapter 6 The EOS project: integrating two models of Palaeolithic social change
327   $aChapter 7  Genetic algorithms, teleological conservatism, and the emergence of optimal demand relations: the case of learning-by-consumingChapter 8 Emergence in social simulation; Chapter 9 How to invent a lexicon: the development of shared symbols in interaction; Chapter 10  MANTA: new experimental results on the emergence of (artificial) ant societies; Chapter 11  Emergent behaviour in societies of heterogeneous, interacting agents: alliances and norms; Chapter 12 Kin-directed altruism and attachment behaviour in an evolving population of neural networks
327   $aChapter 13  Understanding the functions of norms in social groups through simulationChapter 14  A logical approach to simulating societies; Bibliography; Index
330   $aAn exploration of the implications of developments in artificial intelligence for social scientific research, which builds on the theoretical and methodological insights provided by ""Simulating societies"".; This book is intended for worldwide library market for social science subjects such as sociology, political science, geography, archaeology/anthropology, and significant appeal within computer science, particularly artificial intelligence. Also personal reference for researchers.
606   $aSocial sciences$xSimulation methods$vCongresses
606   $aComputer simulation$vCongresses
610   $asimulated
610   $asociety
610   $agenetic
610   $aalgorithm
610   $adistributed
610   $aintelligence
610   $asocial
610   $asimulation
610   $acomplex
610   $aadaptive
615  0$aSocial sciences$xSimulation methods
615  0$aComputer simulation
676   $a300.113
676   $a300.285
676   $a300/.1/13
700   $aGilbert$b Nigel$4edt$0125388
701   $aGilbert$b G. Nigel$0955729
701   $aConte$b Rosaria$f1952-$0312233
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910765839903321
996   $aArtificial societies$93647995
997   $aUNINA