Computer Simulations in Science and Technology Studies / Edition 1

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More About This Textbook

Overview

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 answers 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 will be among the first to apply the tools of simulation systematically to a specific domain: science and technology studies. The first introductory section is followed by three application areas: simulations of scientific discovery and theory formation; evolutionary models of science and technology; and models which explore the conditions and dependencies of scientific work.

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Product Details

  • ISBN-13: 9783540648710
  • Publisher: Springer Berlin Heidelberg
  • Publication date: 10/30/1998
  • Edition description: 1998
  • Edition number: 1
  • Pages: 245
  • Product dimensions: 9.21 (w) x 6.14 (h) x 0.63 (d)

Table of Contents

Introducing simulation in social studies of science and technology: N. Gilbert: Simulation: An introduction to the idea.- J. Klüver: Modelling science as an adaptive and self-organising social system: Concepts, theories and modelling tools.- P. Ahrweiler, S. Wörmann: 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. Küppers: The self-organization of social systems: A simulation of the social construction of knowledge.- C. Stoica: Modelling Krohn and Kuumlppers' 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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