Computer simulations in science and technology studies
著者
書誌事項
Computer simulations in science and technology studies
Springer, 1998
大学図書館所蔵 全11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
Includes index
内容説明・目次
内容説明
What is it about the structure and organisation of science and technology that has led to the spectacularly successful growth of knowledge during this century? This book explores this important and much debated question in an innovative way, by using computer simulations. The computer simulation of societies and social processes is a methodology which is rapidly becoming recognised for its potential in the social sciences. This book applies the tools of simulation systematically to a specific domain: science and technology studies. The book shows how computer simulation can be applied both to questions in the history and philosophy of science and to issues of concern to sociologists of science and technology. Chapters in the book demonstrate the use of simulation for clarifying the notion of creativity and for understanding the logical processes employed by eminent scientists to make their discoveries. The book begins with three introductory chapters. The first introduces simulation for the social sciences, surveying current work and explaining the advantages and pitfalls of this new methodology. The second and third chapters review recent work on theoretical aspects of social simulation, introducing fundamental concepts such as self organisation and complexity and relating these to the simulation of scientific discovery.
目次
Introducing simulation in social studies of science and technology: N. Gilbert: Simulation: An introduction to the idea.- J. Kluver: Modelling science as an adaptive and self-organising social system: Concepts, theories and modelling tools.- P. Ahrweiler, S. Woermann: Computer simulations in science and technology studies.- Simulating the logic of discovery: M. May: Causation and discovery.- G. Grasshoff: The discovery of the urea cycle: Computer models of scientific discovery.- R. Vos, F. Rikken: Connecting disconnected structures: The modelling of scientific discovery in medical literature databases.- Evolutionary models of science and technology: K. Troitzsch: The evolution of technologies.- K. Frenken, O. Verbart: Simulating paradgm shifts using a lock-in model.- P. Ahrweiler, R. Wolkenhammer: SiSiFOS - simulating studies on the internal formation and the organization of science.- G. Kuppers: The self-organization of social systems: A simulation of the social construction of knowledge.- C. Stoica: Modelling Krohn and Kuppers` theory of science as a self-organizing system.- Simulating conditions and dependencies of scientific work: A. Miller: Modelling creativity.- P. Windrum, C. Birchenhall: Developing simulation models with policy relevance: The implications of recent UK reforms for emergent scientific disciplines.
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