Simulation for the social scientist

著者

書誌事項

Simulation for the social scientist

Nigel Gilbert, Klaus G. Troitzsch

Open University Press, 1999

  • : pbk

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注記

Includes bibliographical references (p. [257]-265) and indexes

内容説明・目次

巻冊次

: pbk ISBN 9780335197446

内容説明

* What can computer simulation contribute to the social sciences? * Which of the many approaches to simulation would be best for my social science project? * How do I design, carry out and analyse the results from a computer simulation? Simulation for the Social Scientist is a practical textbook on the techniques of building computer simulations to assist understanding of social and economic issues and problems. Interest in social simulation has been growing very rapidly world-wide as a result of increasingly powerful hardware and software and also a rising interest in the application of ideas of complexity, evolution, adaptation and chaos in the social sciences. This authoritative book outlines all the common approaches to social simulation at a level of detail which will give social scientists an appreciation of the literature and allow those with some programming skills to create their own simulations. Social scientists in a wide range of fields will find this book an essential tool for research, particularly in sociology, economics, anthropology, geography, organizational theory, political science, social policy, cognitive psychology and cognitive science. It will also appeal to computer scientists interested in distributed artificial intelligence, multi-agent systems and agent technologies.

目次

Preface Simulation and social science Simulation as a method System dynamics and world models Microanalytical simulation models Queuing models Multilevel simulation models Cellular automata Multi-agent models Learning and evolutionary models Appendix Bibliography Index.
巻冊次

ISBN 9780335197453

内容説明

This text gives advice on techniques for building computer simulations to assist understanding of social and ergonomic issues and problems. It outlines common approaches to social simulation which will allow those with some programming skills to create their own simulation.

目次

  • Simulation and social science
  • simulation as a method
  • system dynamics and world models
  • microanalytical simulation models
  • queuing models
  • multilevel simulation models
  • cellular automata
  • multi-agent models
  • learning and evolutionary models
  • appendix.

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