Simulating societies : the computer simulation of social phenomena
Author(s)
Bibliographic Information
Simulating societies : the computer simulation of social phenomena
UCL Press, 1994
Available at 27 libraries
Note
Revised versions of most of papers delivered to the first international symposium on "Simulatin societies", held at the University of Surrey, Guildford, England, in April 1992
Includes bibliographical references (p. 287-300) and index
Description and Table of Contents
Description
This path-breaking book explains how simulation models can be created using recently developed artificial intelligence techniques. The reader is taken through the methods of testing and experiment, and is shown how the formulation of social theory and methodology can be aided by simulation. The appeal of the book is two-fold. First, it introduces computer simulation to a broad range of social scientists. Second, it clearly demonstrates an important application of distributed artificial intelligence (DAI) to computer science researchers. This book is intended for academic and postgraduate researchers in social science including sociology, management, economics, social psychology, planning, archaeology, anthropology. Computer science researchers with an interest in Distributed Artificial Intelligence (DAI).
Table of Contents
- Simulating societies: an introduction, Jim Doran and Nigel Gilbert
- simulating of complex organizational processes - a review of methods and their epistemological foundations, Ann C. Seror
- the evolution of technologies, Klaus G. Troitzsch
- simulating the emergence of social order from individual behaviour, Andrzej Nowak and Bibb Latane
- the architecture of society - stochastic simulation of urban movement, Alan Penn and Nick Dalton
- multi-agent simulation as a tool for studying emergent processes in societies, Alexis Drogoul and Jacques Ferber
- simulating fishermen society, F. Bousquet, C. Cambier, C. Mullon, P. Morand, J. Quensiere
- Simulating prehistoric hunter-gatherer societies, Steven Mithen
- the EOS project - modelling Upper Palaeolithic social change, Jim Doran, Mike Palmer, Nigel Gilbert, Paul Mellars
- learning to co-operate using cultural algorithms, Robert G. Reynolds
- the simulation of trade in oligopolistic markets Jose Castro Caldas and Helder Coelho
- mind is not enough - the precognitive bases of social interaction, Rosaria Conte and Cristiano Castelfranchi.
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