Simulating societies : the computer simulation of social phenomena
著者
書誌事項
Simulating societies : the computer simulation of social phenomena
(Routledge library editions, . Artificial intelligence ; v. 6)
Routledge, 2018
- : pbk
大学図書館所蔵 全1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
First published in 1994 by UCL Press Ltd.--t.p.
Includes bibliographical references (p. 287-300) and index
内容説明・目次
内容説明
The most exciting and productive areas of academic inquiry are often where the interests of two disciplines meet. This is certainly the case for the subject of this book, originally published in 1994, which explores the contribution that computer-based modelling and artificial intelligence can make to understanding fundamental issues in social science.
Simulating Societies shows how computer simulations can help to clarify theoretical approaches, contribute to the evaluation of alternative theories, and illuminate one of the major issues of the social sciences: how social phenomena can "emerge" from individual action. The authors discuss how simulation models can be constructed using recently developed artificial intelligence techniques and they consider the methodological issues involved in using such models for theory development, testing and experiment. The introductory chapters situate the book within social science, and suggest why the time was ripe for significant progress, before defining basic terminology, showing how simulation has been used to theorize about organizations, and indicating through examples some of the fundamental issues involved in simulation. The main body of the text provides case studies drawn from economics, anthropology, archaeology, planning, social psychology and sociology.
The appeal of this path-breaking book was twofold. It offered an essential introduction to simulation for social scientists and it provided case study applications for computer scientists interested in the latest advances in the burgeoning area of distributed artificial intelligence (DAI) at the time.
目次
Preface. Contributors. 1. Simulating Societies: An Introduction Jim Doran and Nigel Gilbert 2. Simulation of Complex Organizational Processes: A Review of Methods and their Epistemological Foundations Ann C. Seror 3. The Evolution of Technologies Klaus G. Troitzsch 4. Simulating the Emergence of Social Order from Individual Behaviour Andrzej Nowak and Bibb Latane 5. The Architecture of Society: Stochastic Simulation of Urban Movement Alan Penn and Nick Dalton 6. Multi-agent Simulation as a Tool for Studying Emergent Processes in Societies Alexis Drogoul and Jacques Ferber 7. Simulating Fishermen's Society F. Bousquet, C. Cambier, C. Mullon, P. Morand and J. Quensiere 8. Simulating Prehistoric Hunter-Gatherer Societies Steven Mithen 9. The EOS Project: Modelling Upper Palaeolithic Social Change Jim Doran, Mike Palmer, Nigel Gilbert and Paul Mellars 10. Learning to Co-operate Using Cultural Algorithms Robert G. Reynolds 11. The Simulation of Trade in Oligopolistic Markets Jose Castro Caldas and Helder Coelho 12. Mind is Not Enough: The Precognitive Bases of Social Interaction Rosaria Conte and Cristiano Castelfranchi. References. Index.
「Nielsen BookData」 より