Advertisement

Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View

  • Rainer Hegselmann
  • Ulrich Mueller
  • Klaus G. Troitzsch

Part of the Theory and Decision Library book series (TDLA, volume 23)

Table of contents

  1. Front Matter
    Pages i-viii
  2. G. Nigel Gilbert
    Pages 1-12
  3. Hartmut Kliemt
    Pages 13-27
  4. Karl H. Müller
    Pages 29-63
  5. Ulrich Krause
    Pages 65-75
  6. Stephan Hartmann
    Pages 77-100
  7. Wolfgang Balzer
    Pages 141-156
  8. Klaus G. Troitzsch
    Pages 183-207
  9. Rainer Hegselmann
    Pages 209-233
  10. Wim B. G. Liebrand, David M. Messick
    Pages 235-247
  11. Andrzej Nowak, Maciej Lewenstein
    Pages 249-285
  12. Bibb Latané
    Pages 287-310
  13. Back Matter
    Pages 311-320

About this book

Introduction

Model building in the social sciences can increasingly rely on well elaborated formal theories. At the same time inexpensive large computational capacities are now available. Both make computer-based model building and simulation possible in social science, whose central aim is in particular an understanding of social dynamics. Such social dynamics refer to public opinion formation, partner choice, strategy decisions in social dilemma situations and much more. In the context of such modelling approaches, novel problems in philosophy of science arise which must be analysed - the main aim of this book.
Interest in social simulation has recently been growing rapidly world- wide, mainly as a result of the increasing availability of powerful personal computers. The field has also been greatly influenced by developments in cellular automata theory (from mathematics) and in distributed artificial intelligence which provided tools readily applicable to social simulation.
This book presents a number of modelling and simulation approaches and their relations to problems in philosophy of science. It addresses sociologists and other social scientists interested in formal modelling, mathematical sociology, and computer simulation as well as computer scientists interested in social science applications, and philosophers of social science.

Keywords

artificial intelligence philosophy of science science sociology structuralism

Editors and affiliations

  • Rainer Hegselmann
    • 1
  • Ulrich Mueller
    • 2
  • Klaus G. Troitzsch
    • 3
  1. 1.Universität BremenGermany
  2. 2.Philipps-UniversitätMarburgGermany
  3. 3.Koblenz-Landau UniversitätKoblenzGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-015-8686-3
  • Copyright Information Springer Science+Business Media B.V. 1996
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-4722-9
  • Online ISBN 978-94-015-8686-3
  • Buy this book on publisher's site
Industry Sectors
Pharma
Chemical Manufacturing
Consumer Packaged Goods