Simulating societies : the computer simulation of social phenomena
著者
書誌事項
Simulating societies : the computer simulation of social phenomena
UCL Press, 1994
大学図書館所蔵 全27件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Revised versions of most of papers delivered to the first international symposium on "Simulatin societies", held at the University of Surrey, Guildford, England, in April 1992
Includes bibliographical references (p. 287-300) and index
内容説明・目次
内容説明
This path-breaking book explains how simulation models can be created using recently developed artificial intelligence techniques. The reader is taken through the methods of testing and experiment, and is shown how the formulation of social theory and methodology can be aided by simulation. The appeal of the book is two-fold. First, it introduces computer simulation to a broad range of social scientists. Second, it clearly demonstrates an important application of distributed artificial intelligence (DAI) to computer science researchers. This book is intended for academic and postgraduate researchers in social science including sociology, management, economics, social psychology, planning, archaeology, anthropology. Computer science researchers with an interest in Distributed Artificial Intelligence (DAI).
目次
- Simulating societies: an introduction, Jim Doran and Nigel Gilbert
- simulating of complex organizational processes - a review of methods and their epistemological foundations, Ann C. Seror
- the evolution of technologies, Klaus G. Troitzsch
- simulating the emergence of social order from individual behaviour, Andrzej Nowak and Bibb Latane
- the architecture of society - stochastic simulation of urban movement, Alan Penn and Nick Dalton
- multi-agent simulation as a tool for studying emergent processes in societies, Alexis Drogoul and Jacques Ferber
- simulating fishermen society, F. Bousquet, C. Cambier, C. Mullon, P. Morand, J. Quensiere
- Simulating prehistoric hunter-gatherer societies, Steven Mithen
- the EOS project - modelling Upper Palaeolithic social change, Jim Doran, Mike Palmer, Nigel Gilbert, Paul Mellars
- learning to co-operate using cultural algorithms, Robert G. Reynolds
- the simulation of trade in oligopolistic markets Jose Castro Caldas and Helder Coelho
- mind is not enough - the precognitive bases of social interaction, Rosaria Conte and Cristiano Castelfranchi.
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